Asmaa Yehia Ammar | Bioinformatics in Pharmaceuticals | Editorial Board Member

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Assist. Prof. Dr. Asmaa Yehia Ammar | Bioinformatics in Pharmaceuticals | Editorial Board Member

Animal Health Research Institute | Egypt

Assist. Prof. Dr. Asmaa Yehia Ammar is a distinguished scholar in genetics and genetic engineering, known for her impactful contributions to molecular biology, animal genetics, and environmental genomics. She completed her Ph.D. in Genetics and Genetic Engineering at the Faculty of Veterinary Medicine, Alexandria University, building on her earlier master’s work at Kafrelsheikh University and her bachelor’s degree in veterinary medicine from the same institution. Her academic journey reflects a sustained commitment to advancing genetic research, particularly in areas related to environmental stress, reproductive biology, and gene expression in aquatic and mammalian species.Dr. Ammar began her professional career as a veterinarian at the Directorate of Veterinary Medicine in Kafrelsheikh, where she gained foundational clinical expertise and firsthand exposure to animal health challenges. Her passion for scientific inquiry led her to transition into research, joining the Animal Health Research Institute in Kafrelsheikh as a Research Assistant. Over the years, she progressed to the position of Assistant Researcher, contributing significantly to the institute’s genetic and molecular biology programs. Her research focuses on understanding how environmental conditions—such as oxygen availability, temperature fluctuations, and climatic stressors—affect gene expression, immune responses, reproductive outcomes, and cellular integrity in various species.Her scientific contributions have gained international recognition, particularly her work on the transcriptomic shifts triggered by low-oxygen exposure in mouse reproductive tissues and her exploration of antifreeze genes and stress-related molecular markers in Nile tilapia. Dr. Ammar’s publications demonstrate expertise in designing experiments, conducting complex molecular analyses, and interpreting gene-expression patterns to unravel how organisms adapt to challenging environments. Her collaborations with national and international researchers highlight her commitment to multidisciplinary science and her drive to address questions relevant to both veterinary health and environmental adaptation.Dedicated to mentoring future scientists and contributing to genetic innovation, Dr. Ammar continues to play an important role in advancing veterinary genetics, environmental biotechnology, and molecular diagnostics, solidifying her reputation as a leading researcher in her field.

Profile: Orcid

Featured Publications

Ammar, A. Y., Minisy, F. M., Shawki, H. H., Mansour, M., Hemeda, S. A., El Nahas, A. F., … Oishi, H. (2024). Exposure to a low‑oxygen environment causes implantation failure and transcriptomic shifts in mouse uteruses and ovaries. Biomedicines, 12(5), 1016.

Ammar, A. Y., El Nahas, A. F., Mahmoud, S., Barakat, M. E., & Hassan, A. M. (2018). Characterization of type IV antifreeze gene in Nile tilapia (Oreochromis niloticus) and influence of cold and hot weather on its expression and some immune‑related genes. Fish Physiology and Biochemistry, 44, 515‑525.

Hassan, A. M., El Nahas, A. F., Mahmoud, S., Barakat, M. E., & Ammar, A. Y. (2017). Thermal stress of ambient temperature modulates expression of stress and immune‑related genes and DNA fragmentation in Nile tilapia (Oreochromis niloticus (Linnaeus, 1758)). Applied Ecology and Environmental Research, 15(3), 1343‑1354.

Elbialy, Z. I., El‑Nahas, A. F., Elkatatny, N. A., & Ammar, A. Y. (2016). Quantitative expression analysis of myostatin gene in Nile tilapia (Oreochromis niloticus) tissues in adult stage. Alexandria Journal of Veterinary Sciences, 51(1), 170‑173.

Arya Haddadi | Psychopharmacology | Editorial Board Member

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Mr. Arya Haddadi | Psychopharmacology | Editorial Board Member

Hamadan University of Medical Sciences | Iran

Mr. Arya Haddadi is a dedicated clinical psychologist and emerging scholar whose academic, clinical, and research contributions reflect a strong commitment to advancing mental health sciences in Iran. He completed his Master of Clinical Psychology at the Islamic Azad University of Hamedan with an exceptional GPA of 18.84/20, where his thesis explored “The relationship between Corona Disease Anxiety and sleep disturbances and suicidal ideation in medical staff of Hamadan hospitals: The mediating role of resilience and cognitive flexibility.” Prior to this, he earned his Bachelor of Psychology from the same university, graduating with distinction and producing a thesis titled “The Effect of Yalom Group Therapy on Resiliency and Communication Skills in Students.” His academic excellence was recognized through multiple honors, including being named the top student of his department and earning membership in the Young Researchers and Elite Club.Mr. Haddadi has pursued a research-centered career, contributing significantly to the study of mood disorders, suicide prevention, and psychological resilience. His involvement in psychometric evaluations has led to the validation of key assessment tools such as the Persian versions of the Social Rhythm Metric (SRM II-5) and the Hypomania Checklist (HCL-33), helping enhance diagnostic accuracy for bipolar and related disorders. His scholarly publications demonstrate his expertise in clinical research and statistical analysis, with notable works including “Anticipating influential factors on suicide outcomes through machine learning techniques: Insights from a suicide registration program in western Iran,” “The relationship between corona disease anxiety and sleep disturbances and suicidal ideation in medical staff: The mediating role of resiliency and cognitive flexibility,” “Assessing Depression, Anxiety, Perceived Stress, and Job Burnout in Hospital Medical Staff During COVID-19: A Cross-sectional Study in Hamedan, Iran,” “The impact of acceptance and commitment therapy on college students’ suicidal ideations, a tendency to self-harm, and existential anxiety,” and “Effects of the Acceptance and Commitment Therapy on Resiliency, Self-Compassion, and Corona Disease Anxiety on Medical Staff Involved in COVID-19 Pandemic.”Alongside his strong research background, Mr. Haddadi has extensive clinical experience. He completed two years of clinical internship at Farshchian (Sina) Psychiatry Hospital in Hamedan, where he later continued as a clinical psychologist. His role involves assessing, diagnosing, and treating individuals with a variety of psychological and psychiatric conditions.

Profile: Google Scholar

Featured Publications

Haddadi, A., Ebrahimi, M. E., Zamani, N., & Zarabian, N. (2021). Effects of Yalom Group therapy on the Resilience and Meaning in Life of the Nurses in COVID‑19 Centers. Avicenna Journal of Neuro Psycho Physiology, 8(4), 209‑214.

Haddadi, A., & Ebrahimi, M. E. (2020). Effects of Yalom Group Psychotherapy on Resiliency and Communication Skills in Students. Health Research Journal, 5(3), 188‑198.

Haddadi, A., Yazdi‑Ravandi, S., Moradi, A., & Hajaghaie, E. (2023). Comparing the Resilience of the Medical Staff During the COVID‑19 Pandemic After Yalom Group Psychotherapy and Acceptance and Commitment Group Therapy. Journal of Research and Health, 13(3), 227‑236.

Jalali Azar, R., Ebrahimi, M. I., Haddadi, A., & Yazdi‑Ravandi, S. (2024). The impact of acceptance and commitment therapy on college students’ suicidal ideations, a tendency to self‑harm, and existential anxiety. Current Psychology, 43(17), 15649‑15658.

Ravanbakhsh, L., Ebrahimi, M. I., Haddadi, A., & Yazdi‑Ravandi, S. (2023). Effects of the Acceptance and Commitment Therapy on Resiliency, Self‑Compassion, and Corona Disease Anxiety on Medical Staff Involved in COVID‑19 Pandemic. Iranian Journal of Psychiatry & Behavioral Sciences, 9.

Afshari, E., Ebrahimi, M. I., & Haddadi, A. (2022). The Effect of Acceptance and Commitment Group Therapy on emotional divorce and self‑efficacy of working couples. Journal of Community Health Research, 7.

Mehdi Khashei | Pharmaceutical Analysis | Editorial Board Member

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Prof. Mehdi Khashei | Pharmaceutical Analysis | Editorial Board Member

Isfahan University of Technology | Iran

Prof. Mehdi Khashei is a distinguished scholar in Industrial and Systems Engineering whose extensive academic and research contributions have positioned him as a leading expert in intelligent modeling, hybrid forecasting systems, and data-driven decision-making. He completed his academic journey with a strong mathematical and computational foundation, beginning with a Bachelor’s degree in Applied Mathematics and Computer Science from the University of Isfahan. Building on this analytical background, he pursued advanced studies at the Isfahan University of Technology, earning both his Master’s and Ph.D. in Industrial and Systems Engineering, where he focused on forecasting, analysis of industrial systems, and the integration of artificial intelligence into complex decision environments. His Post-Doctorate research at the same institution further advanced theoretical developments in Modeling Spaces Continuity, reinforcing his expertise in the intersection of systems theory, soft computing, and intelligent analytics.Throughout his academic career, Prof. Khashei has pioneered numerous innovative methodologies in the fields of time series forecasting, intelligent classification, hybrid modeling, and decision science. His research is particularly recognized for introducing discrete learning-based intelligent algorithms, reliability-based hybrid models, and advanced statistical-intelligent approaches for forecasting, classification, and optimization across diverse domains. His work spans energy systems, medicine, chemometrics, financial time series, predictive maintenance, load forecasting, and biomedical decision-making, demonstrating a unique capacity to bridge theory with real-world applications.Prof. Khashei has authored and co-authored an extensive portfolio of high-impact publications across leading international journals. His studies present cutting-edge solutions to challenges in artificial neural networks, fuzzy hybrid models, regression systems, clinical diagnostics, optimization strategies, and intelligent data preprocessing. His contributions have significantly shaped modern approaches to forecasting through hybridization frameworks such as series-parallel models, fuzzy-intelligent seasonal systems, and reliability-based methodologies. With groundbreaking insights into energy classification, breast cancer detection, heart disease diagnosis, and optimal financial turning point detection, his work continues to influence both academic research and applied industry practices.Prof. Mehdi Khashei is widely respected for his scientific rigor, interdisciplinary expertise, and commitment to advancing intelligent systems that enhance decision-making in complex, uncertain environments. His legacy is reflected not only in his prolific scholarly contributions but also in the transformative impact of his methodologies across engineering, computational intelligence, and data-driven industries.

Profile: Google Scholar

Featured Publications

Khashei, M., & Bijari, M. (2010). An artificial neural network (p, d, q) model for time series forecasting. Expert Systems with Applications, 37(1), 479‑489.

Khashei, M., & Bijari, M. (2011). A novel hybridization of artificial neural networks and ARIMA models for time series forecasting. Applied Soft Computing, 11(2), 2664‑2675.

Khashei, M., Bijari, M., & Ardali, G. A. R. (2009). Improvement of auto‑regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs). Neurocomputing, 72(4‑6), 956‑967.

Khashei, M., Hejazi, S. R., & Bijari, M. (2008). A new hybrid artificial neural networks and fuzzy regression model for time series forecasting. Fuzzy Sets and Systems, 159(7), 769‑786.

Hajirahimi, Z., & Khashei, M. (2019). Hybrid structures in time series modeling and forecasting: A review. Engineering Applications of Artificial Intelligence, 86, 83‑106.

Khashei, M., & Bijari, M. (2012). A new class of hybrid models for time series forecasting. Expert Systems with Applications, 39(4), 4344‑4357.

Khashei, M., Hamadani, A. Z., & Bijari, M. (2012). A novel hybrid classification model of artificial neural networks and multiple linear regression models. Expert Systems with Applications, 39(3), 2606‑2620.

Khashei, M., Bijari, M., & Ardali, G. A. R. (2012). Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs). Computers & Industrial Engineering, 63(1), 37‑45.

Khashei, M., & Hajirahimi, Z. (2019). A comparative study of series ARIMA/MLP hybrid models for stock price forecasting. Communications in Statistics – Simulation and Computation, 48(9), 2625‑2640.

Vijay Kumar | Drug Discovery and Development | Editorial Board Member

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Assoc. Prof. Dr. Vijay Kumar | Drug Discovery and Development | Editorial Board Member

Dr B R Ambedkar NIT Jalandhar, India

Assoc. Prof. Dr. Vijay Kumar is a distinguished researcher, academician, and innovator in the fields of artificial intelligence, machine learning, biomedical informatics, cybersecurity, image processing, and computational intelligence. Over the course of his career, he has established himself as a prolific contributor whose research bridges advanced computational theories with real-world applications, particularly in healthcare, pandemic intelligence, medical imaging, network security, and autonomous systems. His academic journey is defined by a commitment to solving high-impact global challenges through intelligent algorithms, deep learning frameworks, optimization strategies, and secure data-driven technologies.Dr. Vijay Kumar’s scholarly work reflects exceptional depth and diversity. He has authored impactful publications in leading journals such as IEEE Transactions on Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, Vaccine, Artificial Intelligence Review, Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Computers in Biology and Medicine, and Biomedical Signal Processing and Control. His research spans a broad spectrum—from deepfake detection, autonomous vehicle visibility enhancement, multi-objective optimization, and cybersecurity frameworks, to intelligent diagnostic models for COVID-19, breast cancer, cervical cancer, and other critical diseases. His studies on advanced metaheuristic algorithms, chaotic encryption systems, drug synergy prediction, air-quality forecasting, and big healthcare data security have contributed significantly to modern computational science. A visionary in interdisciplinary AI, Dr. Kumar has collaborated extensively with international researchers, producing high-impact work on deep neural networks, generative adversarial models, hybrid optimization techniques, multimodal medical imaging, and cloud-based encryption systems. His contributions to pandemic preparedness, especially ML-driven vaccine development roadmaps and intelligent screening systems, highlight his dedication to translating technology into meaningful societal outcomes.He is also recognized for designing innovative algorithms such as lightweight NIDS architectures, evolutionary visibility restoration models, customized dehazing networks, and novel feature-selection optimizers. His body of work has become a reference point for emerging scholars in computer science, health informatics, and computational engineering.Dr. Vijay Kumar continues to lead transformative research, mentor young scientists, and contribute to global scientific advancement through his extensive publication record, collaborative projects, and commitment to innovation. His enduring academic excellence and forward-looking approach place him among the most influential researchers driving the future of intelligent systems and healthcare-focused artificial intelligence.

Profile: Google Scholar

Featured Publications

Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A Review on Genetic Algorithm: Past, Present, and Future. Multimedia Tools and Applications, 52, 5252.

Dhiman, G., & Kumar, V. (2019). Seagull optimization algorithm: Theory and its applications for large‑scale industrial engineering problems. Knowledge‑Based Systems, 165, 169‑196.

Dhiman, G., & Kumar, V. (2017). Spotted Hyena Optimizer: A Novel Bio‑inspired based Metaheuristic Technique for Engineering Applications. Advances in Engineering Software, 114, 48‑70.

Dhiman, G., & Kumar, V. (2018). Emperor Penguin Optimizer: A Bio‑inspired Algorithm for Engineering Problems. Knowledge‑Based Systems, 159, 20‑50.

Singh, D., Kumar, V., Vaishali, & Kaur, M. (2020). Classification of COVID‑19 patients from chest CT images using multi‑objective differential evolution–based convolutional neural networks. European Journal of Clinical Microbiology & Infectious Diseases, 39, 1379‑1389.

Jaiswal, A., Gianchandani, N., Singh, D., Kumar, V., & Kaur, M. (2020). Classification of the COVID‑19 infected patients using DenseNet201 based deep transfer learning. Journal of Biomolecular Structure and Dynamics, 73, 1‑?.

Dhiman, G., Garg, M., Nagar, A., Kumar, V., & Dehghani, M. (2020). A Novel Algorithm for Global Optimization: Rat Swarm Optimizer. Journal of Ambient Intelligence and Humanized Computing, 5, 12‑?.

Das, N. N., Kumar, N., Kaur, M., Kumar, V., & Singh, D. (2020). Automated deep transfer learning‑based approach for detection of COVID‑19 infection in chest X‑rays. IRBM, 4, 25‑?.

Kaur, M., & Kumar, V. (2020). A comprehensive review on image encryption techniques. Archives of Computational Methods in Engineering, 27(1), 390.

Liangqun Li | Pharmaceutical Chemistry | Best Researcher Award

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Dr. Liangqun Li | Pharmaceutical Chemistry | Best Researcher Award

Natural Products Research Center of Guizhou Province | China

Dr. Liangqun Li is a distinguished researcher in natural products chemistry, medicinal chemistry, and functional natural product development, widely recognized for his contributions to the scientific understanding of bioactive plant compounds, particularly those derived from Guizhou’s characteristic botanical resources such as Rosa roxburghii. As a Researcher at the Guizhou Research Center for Natural Products, the National Key Laboratory of Efficacy Components of Traditional Chinese Medicine and Their Utilization, and the Institute of Functional Natural Products, he leads high-impact investigations into efficacy material basis, molecular pathways, and translational utilization of natural compounds. Dr. Li’s scholarly influence is reflected in his strong research metrics, with 293 citations from 275 citing documents, 35 published documents, and an h-index of 11, underscoring his growing global impact in the fields of natural products, phytochemistry, and medicinal biosciences. Before his current role, he completed a productive postdoctoral fellowship at the Key Laboratory of Plant Resources & Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, advancing the identification and functional analysis of key genes involved in pennogenin saponin biosynthesis in Paris polyphylla var. yunnanensis. His earlier experience as an R&D Specialist at Yunnan Baiyao Group strengthened his expertise in pharmaceutical formulation, chemical generic drug development, innovative health-care products, and applied medicinal chemistry. Dr. Li earned his Doctor of Science in Medicinal Chemistry from the Kunming Institute of Botany in collaboration with Yunnan University, preceded by a Master of Pharmacy and a Bachelor of Pharmacy from Kunming Medical University and Haiyuan College. His scholarly contributions include significant publications such as Effects and formula optimization of Rosa roxburghii pomace substrate on the yield and volatile flavor compounds of Lentinula edodes, Therapeutic potential of Rosa roxburghii folium extract in insomnia treatment, Combined metabolite and transcriptomic profiling unveil a potential gene network involved in the triterpenoid metabolism of Rosa roxburghii, Acer truncatum seed oil and Rosa roxburghii juice submicron emulsion: preparation and its therapeutic potential in alleviating scopolamine-induced memory impairment in mice, Isolation, identification, phytochemical characterization and in vitro anti-inflammatory property of an endophytic Trametes versicolor CL-1 isolated from Rosa roxburghii, In vitro neurotrophic properties and structural characterization of a new polysaccharide LTC-1 from Pyrola corbieri Levl, Effect on hypoglycemic activity and UPLC-MS/MS profiling of Rosa roxburghii fruit fermented with Chinese traditional distiller’s yeast, Preparation and characterization of calcium-incorporated Rosa roxburghii Tratt and its efficacy on bone mineral density in rats, Microbial transformation of diosgenin to diosgenone by Wickerhamomyces anomalus JQ-1, and multiple works on asymmetric total synthesis of natural product derivatives including triptophenolide, triptolide, dichroanone, taiwaniaquinone H, brazilin, brazilein, and brazilide A. Through his integrated research combining metabolomics, transcriptomics, biosynthesis, phytochemistry, and innovative natural product engineering, Dr. Li continues to advance the scientific landscape of medicinal plants, contributing to novel therapeutic insights, biochemical pathway discovery, and the modernization of traditional medicinal resources.

Profile: Scopus

Featured Publications

Authors. (2025). Targeted discovery of oxygen-bridged sesquiterpenes from Cinnamomum migao by MS/MS-based molecular networking and their neuroprotective activities. Phytochemistry.

Authors. (2025). Iridoid constituents and anti-aging activity of Eucommiae Folium. Shipin Kexue Food Science.

Authors. (2025). Therapeutic potential of Rosa roxburghii folium extract in insomnia treatment: A comprehensive evaluation of behavioral and neurochemical effects in a PCPA-induced mouse model. Journal of the Science of Food and Agriculture.

Md Sohrab Alam | Drug Delivery Systems | Best Researcher Award

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Mr. Md Sohrab Alam | Drug Delivery Systems | Best Researcher Award

Lord Buddha Koshi Pharmacy College | India

Mr. Md Sohrab Alam is an accomplished academic and pharmaceutical professional recognized for his expertise in pharmaceutics, quality assurance, research, and teaching excellence. With a strong educational foundation that includes a Bachelor of Pharmacy and Master of Pharmacy in Pharmaceutics from Jamia Hamdard, followed by continued progress in doctoral research at Monad University, he has developed a comprehensive understanding of drug delivery science, formulation technologies, and pharmaceutical regulatory principles. His early engagement in research led to his notable project Nanostructured Lipid Carrier Based Transdermal Drug Delivery System of Pioglitazone, conducted under distinguished supervision at Jamia Hamdard, which strengthened his interests in targeted and advanced drug delivery systems. Professionally, he has gained diverse experience across academia, hospital pharmacy, and industrial quality assurance, beginning with a role as Quality Assurance Officer at Brawn Laboratories Ltd., followed by several fulfilling years as a pharmacist within the Shamsaa Pharmacy Group in Saudi Arabia, where he contributed to patient care, medication safety, and therapeutic guidance. His transition into academics marked a significant phase of his career, serving first as an Assistant Professor at the Nibha Institute of Pharmaceutical Sciences and later advancing to the position of Associate Professor at Lord Buddha Koshi Pharmacy College, where he continues to mentor budding pharmacists and inspire research-driven learning. His research contributions include the publication Nanostructured Lipid Carriers of Pioglitazone for Transdermal Application: From Experimental Design to Bioactivity Detail in the journal Drug Delivery, and the study Effects of Europinidine-O-Methylated Anthocyanidine on Scopolamine-Induced Memory Impairments by Improving Neurological Expression: An Integrated In-Silico and ADMET Computational Analysis, published in Learning and Motivation. He is also the author of the academic book Guide to Pharmaceutics: As per PCI Syllabus, published by Shaswat Publication, and holds a design patent for the Automatic Rotary Monoblock Bottle Filling Machine. His active participation in national and international conferences, presentations on innovative drug delivery approaches, and recognition with honors such as the Young Scientist Award highlight his growing influence in pharmaceutical sciences. With professional interests spanning teaching, quality assurance, and R&D, along with multilingual proficiency in English, Hindi, Arabic, and Urdu, Mr. Md Sohrab Alam continues to advance in his mission to contribute meaningful innovations and knowledge to the world of pharmacy and drug development.

Profile: Orcid

Featured Publications

Nanostructured lipid carriers of pioglitazone for transdermal application: from experimental design to bioactivity detail

Qing Li | Immunotherapy | Best Researcher Award

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Prof. Qing Li | Immunotherapy | Best Researcher Award

Chongqing University, China

Prof. Qing Li is a distinguished researcher and academic whose pioneering contributions in molecular oncology and cancer therapeutics have significantly advanced the understanding of tumor pathogenesis and targeted treatment strategies. His extensive research focuses on elucidating the intricate signaling pathways involved in cancer progression, drug resistance, and immune evasion, with an emphasis on translating molecular insights into clinical applications. Prof. Li has co-authored and led numerous high-impact studies published in leading international journals, showcasing his commitment to bridging the gap between benchside discovery and bedside therapy.Among his major works, Prof. Li has contributed to groundbreaking research uncovering signaling pathways involved in colorectal cancer pathogenesis and targeted therapy, published in Signal Transduction and Targeted Therapy. His collaborative study in Experimental Hematology & Oncology revealed how the downregulation of pro-surfactant protein B contributes to the recurrence of early-stage non-small cell lung cancer by activating PGK1-mediated Akt signaling. In Oncogene, he provided critical insights into how hypoxia inhibits ferritinophagy-mediated ferroptosis in esophageal squamous cell carcinoma through the USP2-NCOA4 axis, while his work in Drug Resistance Updates explored spatial multi-omics approaches to circumvent drug resistance in gastric cancer, offering valuable directions for improving chemo and immuno-therapeutic responses.Prof. Li’s research also extends to nanomedicine, where he has designed innovative drug delivery systems, such as plumbagin-loaded ZIF-90 nanoparticles, to suppress gastric cancer progression by targeting the YAP1 signaling pathway, a study featured in the Chemical Engineering Journal. His investigations in Advanced Science identified the oncogenic role of SAMD9 in promoting postoperative recurrence of esophageal carcinoma via the MYH9-mediated GSK3β/β-catenin signaling cascade. Furthermore, his contributions to Seminars in Cancer Biology and Molecular Therapy have shed light on epigenetic regulation and immune checkpoint dynamics, particularly emphasizing the prognostic role of PD-L1 P146R in gastric cancer immunotherapy outcomes.Beyond publications, Prof. Qing Li has demonstrated excellence in research leadership through his involvement in special projects aimed at improving scientific and technological innovation capabilities. His funded studies focus on understanding the molecular mechanisms by which PD-L1 mutations influence immune escape and the efficacy of PD-1/PD-L1 inhibitors in gastric cancer. His work continues to shape the future of precision oncology, fostering new therapeutic paradigms that enhance patient survival and transform cancer treatment worldwide.

Profile: Orcid

Featured Publications

Wang, H., Yang, Y., Zhang, J., Chen, W., Dai, J., Li, C., & Li, Q. (2025). Integrating single-cell RNA sequencing and artificial intelligence for multitargeted drug design for combating resistance in liver cancer. NPJ Precision Oncology.

Che, G., Yin, J., Wang, W., Luo, Y., Chen, Y., Yu, X., Wang, H., Liu, X., Chen, Z., Wang, X., et al. (2024). Circumventing drug resistance in gastric cancer: A spatial multi-omics exploration of chemo and immuno-therapeutic response dynamics. Drug Resistance Updates, 101080.

Song, J., Zhang, J., Shi, Y., Gao, Q., Chen, H., Ding, X., Zhao, M., Zhu, C., Liang, L., Sun, X., et al. (2024). Hypoxia inhibits ferritinophagy-mediated ferroptosis in esophageal squamous cell carcinoma via the USP2-NCOA4 axis. Oncogene.

Wu, C., Zhang, G., Wang, L., Hu, J., Ju, Z., Tao, H., Li, Q., Li, J., Zhang, W., Sheng, J., et al. (2024). Spatial proteomic profiling elucidates immune determinants of neoadjuvant chemo-immunotherapy in esophageal squamous cell carcinoma. Oncogene.

Luo, H., Hu, B., Gu, X.-R., Chen, J., Fan, X.-Q., Zhang, W., Wang, R.-T., He, X.-D., Guo, W., Dai, N., et al. (2024). The miR-23a/27a/24-2 cluster drives immune evasion and resistance to PD-1/PD-L1 blockade in non-small cell lung cancer. Molecular Cancer.

Mo, Y., Han, Y., Chen, Y., Fu, C., Li, Q., Liu, Z., & Xiao, M. (2024). ZDHHC20 mediated S-palmitoylation of fatty acid synthase (FASN) promotes hepatocarcinogenesis. Molecular Cancer.

Rodrigue Brossaud | Gastrointestinal Pharmacology | Best Researcher Award

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Dr. Rodrigue Brossaud | Gastrointestinal Pharmacology | Best Researcher Award

McMaster University | Canada

Dr. Rodrigue Brossaud is a distinguished neuroscientist and postdoctoral fellow specializing in neurogastroenterology at McMaster University in Canada, working under the guidance of Dr. Elyanne Ratcliffe at the Farncombe Institute. Supported by a prestigious DeGroote Postdoctoral Award, his research explores how prenatal cannabis exposure influences the development of the microbiota–gut–brain axis, emphasizing the pivotal role of the endocannabinoid system in the maturation of both the enteric and central nervous systems. His work bridges developmental neurobiology, microbiome science, and neuropharmacology, offering groundbreaking insight into how early-life environmental exposures can shape lifelong neurological and gastrointestinal health.Dr. Brossaud earned his Ph.D. in Neuroscience from Nantes University, where his doctoral research in the TENS Laboratory at the Faculty of Medicine, under the mentorship of Prof. Michel Neunlist and Dr. Moustapha Cissé, focused on the beneficial effects of bacterial metabolites on early intestinal amyloid pathology in a mouse model of Alzheimer’s disease. His findings highlighted the therapeutic potential of gut-derived microbial compounds in modulating neuroinflammation and amyloid accumulation, laying the groundwork for novel microbiota-based strategies in neurodegenerative disease management.Before his doctorate, he completed a Master’s in Biology, Biotechnology, and Therapeutic Research at Nantes University with honors, conducting an advanced study on the role of interactions between CD4 T cells and enteric glial cells in early relapses of Crohn’s disease, supervised by Prof. Philippe Naveilhan. His bachelor’s degree in Animal Physiology and Cellular Biology, also earned with honors, and his intensive preparatory studies in Biology, Chemistry, Physics, and Earth Sciences at Georges Clemenceau High School, further strengthened his multidisciplinary scientific foundation.

Profile: Orcid

Featured Publications

Brossaud, R., Moullé, V. S., Giblaine, M., Even, S., Maillard, M.-B., Chevalier, S., Oullier, T., Guédon, E., Le Loir, Y., Cissé, M., et al. (2025, December). Microbial metabolites alleviate Aß-induced alterations of intestinal epithelial barrier and enteric nervous system connectivity. Journal of Functional Foods, 107095.

Le Berre, C., Durand, T., Pabois, J., Brossaud, R., Aymeric, L., Neunlist, M., Bourreille, A., Naveilhan, P., & Neveu, I. (2025, June 1). Enteric glia promotes the survival of CD4 and CD8 T cells in plexitis: A new player in Crohn’s disease recurrence? American Journal of Physiology – Gastrointestinal and Liver Physiology.

Parvin Babaei | Neuropharmacology | Women Researcher Award

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Prof. Parvin Babaei | Neuropharmacology | Women Researcher Award

Guilan University of Medical Sciences | Iran

Prof. Parvin Babaei is a distinguished physiologist and neuroscientist whose research bridges the complex domains of neuromolecular biology, neurophysiology, and behavioral sciences. She earned her Ph.D. in Physiology with a specialization in Neuromolecular Biology from the Russian Academy of Medical Sciences, Anokhin Institute of Normal Physiology in Moscow, following her M.Sc. in Human Physiology from the University of Tarbiat Modarres in Tehran and a B.Sc. in Biology from the University of Guilan, Iran. Her academic foundation and scientific curiosity have driven her to explore the molecular and behavioral mechanisms underlying neurological and physiological functions in both animal and human models.Prof. Babaei’s scientific contributions encompass a broad spectrum of research areas including gene expression, neurobehavioral assessment, and experimental modeling of neurological disorders such as Alzheimer’s, Parkinson’s, stroke, and metabolic syndrome. She possesses advanced technical expertise in immunohistochemistry, enzyme-linked immunosorbent assay (ELISA), stereotaxic surgery, behavioral and motor tracking with Ethovision software, and diverse learning and memory assessment tools such as the Morris Water Maze, passive avoidance, and object recognition tasks. Her experimental approach integrates molecular techniques with behavioral analysis to uncover the biological basis of stress, cognition, and neurodegeneration.She has made remarkable scholarly contributions with numerous impactful publications, such as Stress induced expression of c-fos in the rat brain: a comparison of averaging and individual analyses, Apamine increases excitability of CA1 hippocampal pyramidal neurons, and Characteristics of c-fos gene expression in the brains of rats with different investigative and defensive behaviors. Her works like Mapping pattern of c-fos expression after seizure using immunoperoxidase staining, Effect of aerobic training on serum IgG and IgA of male students, Effect of Atrial Natriuretic Peptide on spontaneous activity of rat uterine smooth muscle, and Effect of training on visceral fat in ovariectomized rats reflect her interdisciplinary command across physiology, neuroscience, and exercise science.Throughout her career, Prof. Babaei has been recognized with numerous honors, including several “Best Researcher” awards from Guilan University of Medical Sciences and the Guilan Province, and distinction among the world’s top 2% scientists identified by Stanford University.

Profile: Google Scholar

Featured Publications

Damirchi, A., Hosseini, F., & Babaei, P. (2018). Mental training enhances cognitive function and BDNF more than either physical or combined training in elderly women with MCI: A small-scale study. American Journal of Alzheimer’s Disease & Other Dementias®, 33(1), 20–29.

Kouhestani, S., Jafari, A., & Babaei, P. (2018). Kaempferol attenuates cognitive deficit via regulating oxidative stress and neuroinflammation in an ovariectomized rat model of sporadic dementia. Neural Regeneration Research, 13(10), 1827–1832.

Babaei, P. (2021). NMDA and AMPA receptors dysregulation in Alzheimer’s disease. European Journal of Pharmacology, 908, 174310.

Fayaz, E., Damirchi, A., Zebardast, N., & Babaei, P. (2019). Cinnamon extract combined with high-intensity endurance training alleviates metabolic syndrome via non-canonical WNT signaling. Nutrition, 65, 173–178.

Babaei, P., Mehdizadeh, R., Ansar, M. M., & Damirchi, A. (2010). Effects of ovariectomy and estrogen replacement therapy on visceral adipose tissue and serum adiponectin levels in rats. Menopause International, 16(3), 100–104.

Supraja R Prasad | Drug Discovery and Development | Best Researcher Award

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Ms. Supraja R Prasad | Drug Discovery and Development | Best Researcher Award

Kuvempu University | India

Ms. Supraja R. Prasad is a passionate researcher and educator specializing in organic synthesis, computational chemistry, and the design of biologically active heterocycles. Her academic and professional journey reflects a deep dedication to the integration of sustainable chemical methodologies with modern computational tools to advance the field of drug discovery. She is particularly recognized for her innovative work on the green synthesis of heterocyclic compounds, utilizing eco-friendly multicomponent reactions and natural catalysts to create molecular frameworks with promising therapeutic potential.Her research portfolio spans multiple interrelated areas, including mechanochemical synthesis of heterocyclic derivatives, density functional theory (DFT) studies, and spectral characterization of synthesized compounds. She has also explored the anti-diabetic activity of synthesized derivatives, focusing on developing safer and more efficient alpha-glucosidase inhibitors for managing type 2 diabetes mellitus. By combining experimental synthesis with computational modeling and molecular docking analyses, Ms. Prasad bridges the gap between theoretical chemistry and practical pharmacological applications.Her recent publication in the Journal of the Indian Chemical Society highlights her contributions to the synthesis and evaluation of alpha-glucosidase inhibitors, further strengthening her position within the scientific community. Through her work, she demonstrates how green chemistry can drive meaningful advancements in pharmaceutical sciences while minimizing environmental impact.Ms. Prasad’s academic mission is rooted in the belief that collaborative, interdisciplinary research can accelerate innovation. She emphasizes teamwork, creativity, and knowledge sharing as the cornerstones of impactful scientific progress. Her approach integrates sustainability, molecular insight, and therapeutic relevance — a combination that continues to shape her vision for future research.Her ongoing studies and contributions to organic synthesis, bioactivity assessment, and computational modeling position her as an emerging leader in sustainable chemistry and computational drug discovery, striving to make scientific research both environmentally responsible and socially beneficial.

Profile: Orcid

Featured Publications

Clay catalyzed dihydropyrimidinone synthesis: α-glucosidase inhibition and chemoinformatics. Journal of the Indian Chemical Society.