Priya Bhosale | Clinical Trials | Best Researcher Award

Published on by Top Pharmaceutical

Dr. Priya Bhosale | Clinical Trials | Best Researcher Award

Professor of radiology at MD Anderson Cancer Center | United States

Dr. Priya Bhosale is a distinguished Professor of Diagnostic Radiology at The University of Texas MD Anderson Cancer Center, specializing in abdominal and gynecologic imaging. With a career marked by academic excellence, clinical leadership, and pioneering research, she has significantly advanced imaging techniques for cancer diagnosis and treatment planning. She has held numerous leadership roles, contributed to international cancer care guidelines, and mentored emerging medical professionals. Renowned for her dedication to innovation and quality improvement, Dr. Bhosale actively participates in professional societies, editorial boards, and multidisciplinary initiatives, striving to enhance patient care, radiology practice standards, and global collaboration in oncologic imaging.

Publication Profile 

Google Scholar

Education 

Dr. Priya Bhosale earned her MD in Medicine from D.Y. Patil Medical College, Kolhapur, India, followed by advanced radiology training at the University of Pennsylvania and a fellowship at MD Anderson Cancer Center. She has pursued multiple leadership, innovation, and management programs at prestigious institutions including MD Anderson, the American College of Radiology, Association of University Radiologists, and Rice University. Her academic credentials also include an MBA in Health Care Management and Corporate Strategy. These diverse educational experiences have equipped her with expertise in clinical excellence, leadership development, strategic planning, quality control, corporate innovation, and emotional intelligence, all applied to medical practice.

Experience 

Dr. Priya Bhosale has served at MD Anderson Cancer Center progressing from Assistant Professor to Professor in Diagnostic Radiology. She holds concurrent appointments at UT Health Science Center in Houston. She has directed numerous programs including the Quantitative Imaging Core, chaired key quality committees, and led gynecologic imaging initiatives. Beyond academic roles, she has contributed to national and international cancer committees, served as course director, and collaborated in multidisciplinary research. Her leadership spans peer review committees, strategic planning groups, and educational programs, impacting both institutional and global radiology practices through innovation, quality improvement, and patient-centered imaging advancements.

Awards & Honors 

Dr. Priya Bhosale has been recognized through competitive leadership program nominations, including the MD Anderson Leadership Institute and the Radiology Leadership Institute. She has been entrusted with chairing influential national committees such as those in the Society for Advanced Body Imaging and the Texas Radiological Society. Her selection for prestigious executive education at Rice University underscores her leadership stature. She has served as an invited moderator, panelist, and presiding officer at leading radiology and oncology conferences, highlighting her expertise and influence. Through her work, she has advanced imaging research, quality standards, and multidisciplinary collaboration, earning respect across academic, clinical, and research communities.

Research Focus

Dr. Priya Bhosale research centers on advanced abdominal and gynecologic cancer imaging, with an emphasis on MRI applications, quantitative imaging, and multi-modality diagnostic strategies. She develops and evaluates imaging biomarkers to improve cancer detection, staging, treatment planning, and response assessment. Her work integrates radiology with pathology and oncology to refine precision medicine approaches. She also investigates quality improvement in imaging protocols and reproducibility in multi-center trials. As an active member of national cancer steering committees and working groups, she contributes to shaping imaging guidelines, fostering innovation, and translating research into practice to enhance outcomes for patients with complex oncologic diseases.

Publication Top Notes

Frequent detection of pancreatic lesions in asymptomatic high-risk individuals

Response of borderline resectable pancreatic cancer to neoadjuvant therapy is not reflected by radiographic indicators

Preoperative gemcitabine and cisplatin followed by gemcitabine-based chemoradiation for resectable adenocarcinoma of the pancreatic head

Ablative radiotherapy doses lead to a substantial prolongation of survival in patients with inoperable intrahepatic cholangiocarcinoma: a retrospective dose response analysis

Ovarian cancer, the revised FIGO staging system, and the role of imaging

Predictors and patterns of recurrence after definitive chemoradiation for anal cancer

The inguinal canal: anatomy and imaging features of common and uncommon masses

Transport properties of pancreatic cancer describe gemcitabine delivery and response

Imaging of pancreatic adenocarcinoma: update on staging/resectability

Preoperative therapy and pancreatoduodenectomy for pancreatic ductal adenocarcinoma: a 25-year single-institution experience

Cervical cancer: 2018 revised international federation of gynecology and obstetrics staging system and the role of imaging

Imaging and staging of endometrial cancer

Chemotherapy induced liver abnormalities: an imaging perspective

Imaging features of carcinoid tumors of the gastrointestinal tract

Aiyin Chen | Clinical Trials | Best Researcher Award

Published on by Top Pharmaceutical

Dr. Aiyin Chen | Clinical Trials | Best Researcher Award

Associate Professor at Oregon Health & Science University | United States

Dr. Aiyin Chen is an accomplished ophthalmologist and glaucoma specialist, recognized for her expertise in clinical care, research, and academic leadership. She serves as an Associate Professor in the Department of Ophthalmology at Oregon Health & Science University’s Casey Eye Institute. Dr. Chen’s career bridges advanced patient care with groundbreaking research in glaucoma detection, machine learning risk prediction, and optical coherence tomography applications. She has led and collaborated on multiple NIH-funded projects, contributed extensively to peer-reviewed literature, and worked to improve vision health in underserved populations. Dedicated to advancing ophthalmic science, Dr. Chen’s work continues to shape the future of glaucoma care.

Publication Profile 

Google Scholar

Education 

Dr. Aiyin Chen earned her Bachelor of Arts degree in Biological Sciences with a Neurobiology and Behavior concentration from Cornell University, graduating magna cum laude with distinction. She obtained her Doctor of Medicine with thesis distinction from the University of California, San Francisco (UCSF) School of Medicine. Following medical school, she completed a transitional internship at Atlantic Health Morristown Memorial Hospital and Mount Sinai School of Medicine. Dr. Chen then pursued ophthalmology residency training and a glaucoma fellowship at UCSF. She is certified by the American Board of Ophthalmology and holds active medical licenses in Oregon, Washington, and California, with prior licensure in Nevada.

Experience 

Dr. Aiyin Chen professional journey includes service as a glaucoma specialist at Wellish Vision Institute, and surgical roles at Sunrise Hospital and Box Canyon Surgery Center in Las Vegas. She transitioned to academia at the Casey Eye Institute, Oregon Health & Science University, where she served as Assistant Professor before advancing to Associate Professor. Her clinical expertise encompasses complex glaucoma management and surgery, while her administrative and teaching roles support training the next generation of ophthalmologists. Dr. Chen has been deeply involved in multi-institutional research collaborations, NIH-funded studies, and projects integrating telemedicine and big data analytics to improve glaucoma detection, diagnosis, and patient outcomes.

Awards and Honors 

Dr. Aiyin Chen has earned multiple distinctions throughout her academic and professional career, including thesis distinction during her MD program and recognition for her NIH-funded research contributions in ophthalmology. She has been selected as a K12 Clinical Scientist Institutional Career Development Awardee, underscoring her leadership in translational research. Her grant portfolio includes principal investigator and co-investigator roles on high-impact glaucoma studies funded by the National Eye Institute and National Library of Medicine. Dr. Chen’s scholarship, mentorship, and commitment to improving vision health in underserved communities have established her as a leader in ophthalmic research, earning her recognition among peers in the global vision science community.

Research Focus 

Dr. Aiyin Chen research focuses on advancing glaucoma detection, risk prediction, and disease management through technology-driven approaches. Her work includes developing machine learning models to predict glaucoma onset and progression, exploring the use of optical coherence tomography angiography for early diagnosis, and designing telemedicine-based screening strategies for underserved areas. She has contributed to studies evaluating clinic efficiency through data modeling and examined ocular blood flow in glaucoma patients before and after surgical interventions. With a strong record of NIH-funded research, Dr. Chen’s efforts aim to integrate imaging, big data analytics, and community outreach to improve glaucoma care worldwide.

Publication Top Notes

Does in vitro susceptibility predict clinical outcome in bacterial keratitis?

Measuring glaucomatous focal perfusion loss in the peripapillary retina using OCT angiography

Semaglutide and nonarteritic anterior ischemic optic neuropathy

Scleral intraocular pressure measurement in cadaver eyes pre-and postkeratoprosthesis implantation

Patterns of neural activation associated with exposure to odors from a familiar winner in male golden hamsters

Asian herbal-tobacco cigarettes:“not medicine but less harmful”?

Effect of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography

Focal loss analysis of nerve fiber layer reflectance for glaucoma diagnosis

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data

Extraction of active medications and adherence using natural language processing for glaucoma patients

Integrating deep learning with electronic health records for early glaucoma detection: a multi-dimensional machine learning approach

Emerging frontline leaders’ voices in response to COVID-19 crisis

Surgical management of an optic nerve glioma with perineural arachnoidal gliomatosis growth pattern

Optical coherence tomographic angiography detects retinal vascular changes associated with pituitary adenoma