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Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

• Genomics
• Machine Learning
• Computational Biology
• +3 more

Dr. Shyh-Dar Li is a Professor and Tong Louie Chair in Pharmaceutical Sciences at the University of British Columbia's Faculty of Pharmaceutical Sciences, where he also serves as Chair of Nanomedicine and Chemical Biology. With a BSc in pharmacy from National Taiwan University (1998) and PhD in pharmaceutical sciences from UNC Chapel Hill (2008), followed by postdoctoral training at UC San Diego's Moores Cancer Center (2009), Dr. Li has established himself as a leading researcher in advanced drug delivery systems. His research focuses on developing innovative nanomedicine platforms for targeted delivery of biological therapeutics including peptides, proteins, antibodies, and nucleic acids. Dr. Li's laboratory has pioneered several novel drug delivery approaches, particularly in lipid-based nanoparticles, phospholipid-free vesicles, and polymer systems for cancer immunotherapy, pain management, and protein delivery. His work bridges fundamental nanotechnology with translational applications for difficult-to-treat diseases. Analysis of his recent publications reveals a strong emphasis on tumor microenvironment modulation, endosomal escape mechanisms for nucleic acid delivery, and non-invasive delivery routes for protein therapeutics. His research demonstrates increasing sophistication in nanocarrier engineering, with recent work incorporating machine learning approaches to optimize nanoparticle design and expanding into immunomodulatory therapies that harness the body's immune system to fight cancer. Scientific Recognition: 2014 AFPC New Investigator Award 2013 AAPS New Investigator Award in Pharmaceutics and Pharmaceutical Technologies 2013 CIHR New Investigator Award 2013 CSPS Early Career Award 2012 Prostate Cancer Foundation Young Investigator Award Dr. Li's research program has been consistently supported by major Canadian funding agencies including CIHR, NSERC, and MITACS. He actively collaborates across disciplines and accepts graduate students into his research program, focusing on cutting-edge approaches to overcome biological barriers in drug delivery. His laboratory, the Laboratory of Targeted Drug Delivery and Nanomedicine, serves as a hub for innovation in pharmaceutical nanotechnology.

• Drug Delivery
• Nanomedicine
• Biopharmaceutics
• +7 more

Jay Raman serves as Professor and Chair of the Department of Urology and Professor in the Department of Surgery at Penn State College of Medicine, with additional affiliation at the Penn State Cancer Institute where he contributes to cancer control research. His clinical and academic leadership spans urologic oncology, surgical innovation, and healthcare policy initiatives. Dr. Raman's research centers on Transitional Cell Carcinoma (bladder cancer) and Upper Tract Urothelial Carcinoma , with extensive work on nephroureterectomy outcomes, local ablation techniques, and renal preservation strategies. He actively investigates prostate cancer diagnostics , comparing transperineal versus transrectal biopsy approaches, while addressing systemic barriers in surgical training through analyses of residency application fees and workforce diversity. His 2025 publications reveal a dual focus: advancing surgical precision in upper tract urothelial carcinoma management and critiquing structural inequities in surgical education. Key studies compare renal outcomes between local ablation and radical nephroureterectomy while examining how application costs hinder healthcare workforce diversity, demonstrating his commitment to both clinical innovation and equitable medical training.

• Urologic Oncology
• Bladder Cancer
• Upper Urinary Tract Cancer
• +3 more

Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.

• Biomedical Signal Processing
• Diagnostic Imaging
• Ultrasound Technology
• +4 more

Dr. John A. Copland III is a Professor of Cancer Biology and Biochemistry & Molecular Biology at Mayo Clinic in Jacksonville, Florida. He leads the Cancer Biology and Translational Research Laboratory, focusing on molecular mechanisms of carcinogenesis, tumor progression, and development of targeted cancer therapies. Education: PhD in Physiology & Endocrinology (Medical College of Georgia), MS in Endocrinology (Medical College of Georgia), BS in Chemistry (Columbus College), with postdoctoral training at University of Texas Medical Branch. Research interests center on: Identifying tumor suppressor genes (e.g., RhoB, TBR3, GATA3) and oncogenes (e.g., FOXO3a, SCD1, NPTX2). Developing patient-derived xenografts and live cell models for personalized medicine. Designing SCD1 inhibitors via in silico modeling for clinical trials. Recent publications highlight his work on SCD1 inhibition in leukemia and thyroid cancer ImmunoPET imaging of thyroid tumors CRISPR-identified drug synergies in cholangiocarcinoma Patient-specific combination therapies using xenograft models

• Cancer Biology
• Molecular Carcinogenesis
• Translational Research
• +3 more

Prof. Abbas Samani is a Professor at the Department of Electrical and Computer Engineering and holds a joint appointment in the Department of Medical Biophysics at Western University . He is a core faculty member of the Biomedical Engineering Graduate Program and an Associate Scientist at Imaging Research Laboratories of Robarts Research Institute . His academic journey includes a Ph.D. from the University of Waterloo, an M.Sc. from the University of Tehran, and a B.Sc. from Amirkabir University of Technology. His research focuses on biological tissue computational modeling and its applications in medical imaging, intervention, and image analysis . He develops computer/image-assisted tools for minimally invasive disease diagnosis and therapy , targeting heart disease, cancer, and lung disease . Key projects include myocardium biomechanical modeling , handheld medical devices for breast cancer screening , and lung disease diagnostics via CT image segmentation . His recent publications emphasize ultrasound elastography , finite element modeling , and inverse problems in biomechanics , primarily in journals like IEEE Transactions on Computational Imaging and Translational Oncology . His work spans both computational modeling and medical device development . Selected Graduate Supervision : Ph.D. Candidates : Seyed Hassan Haddad, Elham Karami, Seyed Mohammad Hesabgar Graduated Ph.D. Students : Ali Sadeghi Naini, Seyed Reza Mousavi M.Sc. Students : Cristian Linte, Patrick Courtis, Joseph O'Hagan, Hatef Mehrabian, Hirad Karimi, Hosein Amooshahi, Seyed Mohammad Hesabgar, Nastaran Ghadarghadr, Shadi Shavakh, Ehsan Salamati, Ehsan Omidi Teaching Contributions : Graduate: BME9519B/CAMI9519B/ECE9202B/ECE9022B - Advanced Image Processing and Analysis , MBP9530A - Human Biomechanics and Biomedical Applications Undergraduate: ECE4438B - Advanced Image Processing and Analysis , ES1050 - Introductory Engineering Design and Innovation Studio , MBP3330F - Human Biomechanics and Biomedical Applications Research Affiliations : Robarts Research Institute - Associate Scientist at Imaging Research Laboratories Western University - Core Faculty, Biomedical Engineering Graduate Program

• Biomedical Engineering
• Medical Imaging
• Computational Modeling
• +5 more

YingLi Tian is a CUNY Distinguished Professor in the Department of Electrical Engineering at The City University of New York. Their work focuses on computer vision, machine learning, and medical imaging. Key areas include sign language recognition, medical image analysis, and AI-driven healthcare solutions. Research Interests: Artificial Intelligence applications in healthcare 3D point cloud and scene understanding Self-supervised learning and domain adaptation Sign language recognition systems Medical imaging segmentation and diagnosis Human-robot interaction and assistive technologies Notable Projects: Developed AI systems for American Sign Language recognition using RGB-D data Pioneered self-supervised feature learning techniques in medical imaging Created virtual contrast enhancement tools for CT scans Advanced sea ice motion prediction using deep learning Labs & Teams: Leads the Media and Information Technology Lab at CCNY, focusing on multimodal AI and healthcare technology innovations.

• Computer Vision
• Machine Learning
• Medical Imaging
• +3 more

Indrani Bhattacharya, PhD, is an Assistant Professor in the Department of Biomedical Data Science and the Center for Precision Health and Artificial Intelligence (CPHAI) at Dartmouth College's Geisel School of Medicine. Her research focuses on developing human-centered AI systems for healthcare, particularly in multimodal medical imaging and behavioral health analytics. She holds a BS in Electrical Engineering from Jadavpur University (India), and MS/PhD from Rensselaer Polytechnic Institute (USA). Postdoctoral training at Stanford University's Department of Radiology further specialized her in biomedical imaging informatics. Research interests include: Integrating imaging and non-imaging data for precision medicine AI-driven prostate cancer detection/classification Multimodal behavior estimation for doctor-patient interactions Privacy-preserving sensor systems for group interaction analysis Her work bridges computer vision, medicine, and social science, with recent breakthroughs in MRI-ultrasound fusion AI outperforming radiologist interpretations in multi-center studies. Active in AI ethics and translational research, she leads teams developing clinical decision support tools for oncology and behavioral health. Key career milestones include: Postdoctoral scholar at Stanford University School of Medicine (2016-2021) Academic research staff at Stanford Radiology (2021-2022) Founding member of Dartmouth CPHAI precision health initiatives Labs/Teams: Leads the Biomedical AI for Healthcare group at Dartmouth, collaborating with Stanford and industry partners on AI-driven diagnostic systems.

• Multimodal Machine Learning
• Medical Image Analysis
• Social Signal Processing
• +3 more

Brian Kavanagh, MD, MPH is a Professor and Department Chair of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. He serves as Department Chair and maintains clinical practice at multiple UCHealth locations including the University of Colorado Cancer Center, Cherry Creek Medical Center, Longs Peak Medical Center, and the Rocky Mountain Gamma Knife Center. His leadership extends to serving as Chair of the American Society for Radiation Oncology since 2017. MD, Tulane University School of Medicine (1988) MPH, Tulane University (1988) BSE, Tulane University (LA) (1984) Internship: Tulane University Program (1989) Residency: Duke University Hospital Program, Radiation Oncology (1993) Dr. Kavanagh's research primarily focuses on stereotactic body radiation therapy (SBRT), functional lung avoidance radiation therapy using 4DCT-ventilation imaging, and treatment of brain metastases from oncogene-driven lung cancers. His work bridges clinical practice, medical physics innovation, and outcomes research, with particular emphasis on optimizing radiation therapy techniques while minimizing toxicity. Recent publications demonstrate his leadership in developing novel approaches to image-guided radiation therapy, including antiscatter grid technology for CBCT imaging and functional avoidance techniques for lung cancer treatment. Analysis of Dr. Kavanagh's recent publications (2019-2024) reveals a strong focus on precision radiation therapy for lung cancer and brain metastases. His research spans technical innovations in medical physics (such as 2D antiscatter grid development), clinical trials evaluating functional avoidance radiation therapy, and studies examining outcomes for patients with oncogene-driven cancers. A significant portion of his work addresses the integration of radiation therapy with targeted therapies for lung cancer with brain metastases, reflecting the evolving treatment paradigms in this field. Top Doctor, 5280 Magazine (2023) Dr. Kavanagh has been instrumental in developing national radiation oncology curriculum frameworks through stakeholder consensus processes. His leadership in the American Society for Radiation Oncology has positioned him to influence practice guidelines and educational standards in the field. His research has been supported through multi-institutional clinical trials and collaborations with major cancer centers across the United States. Dr. Kavanagh leads research efforts in the Rocky Mountain Gamma Knife Center and contributes to the University of Colorado Cancer Center's radiation oncology program. His work with 4DCT-ventilation imaging has established a clinical research program focused on functional avoidance radiation therapy, which aims to preserve lung function while effectively treating tumors.

• Radiation Oncology
• Stereotactic Body Radiation Therapy
• Functional Lung Avoidance Radiation Therapy
• +7 more

Ben Raphael is a Professor in the Department of Computer Science at Princeton University, with affiliations at the Lewis-Sigler Institute for Integrative Genomics, Omenn-Darling Bioengineering Institute, and Center for Statistics and Machine Learning. He is also an Affiliate Faculty member at the Rutgers Cancer Institute of New Jersey, Irving Institute for Cancer Dynamics at Columbia University, and New York Genome Center. His research focuses on computational methods for analyzing large-scale biological data, emphasizing cancer evolution, network/pathway analysis, and structural variation in genomes. Research Trends: His recent work spans cancer lineage trees, spatial transcriptomics, optimal transport for developmental models, and network analysis of mutations. Articles highlight applications in prostate cancer, pancreatic cancer, and single-cell genomics. Scientific Awards: 2024 ACM Fellow 2023 RECOMB Test of Time Award 2022 RECOMB Test of Time Runner-Up 2021 ISCB Innovator Award 2021 RECOMB Best Paper Runner-Up 2020 ISCB Fellow 2020 AACR Team Science Award 2011 NSF CAREER Award 2013 RECOMB Best Paper 2010-2012 Sloan Research Fellowship Advising: He has mentored numerous Ph.D. students and postdoctoral fellows, many of whom have transitioned to academic and industry roles. Current advisees include Uthsav Chitra, Gillian Chu, and Alexander Strzalkowski. Labs & Teams: Raphael leads the Raphael Lab at Princeton, developing tools like HotNet2, CHISEL, and HATCHet for cancer genomics and network analysis.

• Bioinformatics
• Computational Biology
• Cancer Genomics
• +6 more

Haoming Qiu, M.D. serves as an Associate Professor in the Department of Radiation Oncology at the University of Rochester School of Medicine and Dentistry. He practices clinically at both Wilmot Cancer Center in Rochester and Sands Cancer Center in Canandaigua, providing radiation oncology services for gastrointestinal, lung, and prostate cancers. Board-certified by the American Board of Radiology, Dr. Qiu specializes in advanced radiotherapy techniques including external beam radiation and radiopharmaceutical therapies. Education: MD, Johns Hopkins University (2011) Residency in Radiation Oncology, University of Rochester Medical Center (2013-2016) Residency in Radiation Oncology, Loyola University Medical Center (2012-2013) Internship in Internal Medicine, Sinai Hospital of Baltimore (2011-2012) Research Focus: Dr. Qiu's work centers on optimizing radiation therapy for gastrointestinal malignancies, prostate cancer, and neuroendocrine tumors. His investigations into theranostics explore novel applications of Lutathera for neuroendocrine tumors, Pluvicto for prostate cancer, and Therasphere for liver cancers. Current research emphasizes combining stereotactic body radiotherapy with immunotherapeutic agents to overcome treatment resistance in pancreatic and rectal cancers. Publication Trends: Recent publications (2023-2025) reveal a strategic shift toward adaptive radiotherapy techniques for pelvic malignancies and immunoradiotherapy combinations. His work demonstrates growing emphasis on modulating tumor immune microenvironments through radiation, particularly in pancreatic and rectal cancers. The integration of mRNA nanotechnology with SBRT represents a cutting-edge frontier in his research portfolio. Scientific Recognition: Roentgen Resident/Fellow Research Award (2015) Excellence in Medical Student Research (2011) Clinical Leadership: Dr. Qiu directs multiple clinical trials at the University of Rochester focusing on radiopharmaceutical applications and adaptive radiotherapy protocols. His patient-centered approach is reflected in consistently high patient satisfaction scores (4.9/5 stars) across communication, empathy, and treatment explanation metrics. Care Coordination: As part of the Wilmot Cancer Center and Sands Cancer Center teams, Dr. Qiu collaborates with multidisciplinary groups including medical oncologists, surgeons, and radiologists to deliver integrated cancer care through Accountable Health Partners network.

• Radiation Oncology
• Gastrointestinal Cancers
• Lung Cancer
• +5 more

Dr. Richard H. Wiggins serves as Professor of Radiology and Imaging Sciences at the University of Utah School of Medicine, where he also holds the position of Associate Dean of Continuing Medical Education. He maintains adjunct professorships in Otolaryngology, Head and Neck Surgery, and Biomedical Informatics. His educational background includes a BA in Biochemistry from the University of Texas at Austin and an MD from the University of Texas at Houston Health Sciences Center, followed by specialized training at the University of Florida and University of Utah. Dr. Wiggins's research spans neuroradiology, biomedical informatics, and medical education innovation. His work explores advanced imaging techniques for head and neck pathologies, PET-CT applications in oncology, and the development of novel educational platforms like the RadDiscord community. He maintains particular expertise in temporal bone imaging, paragangliomas, and thyroid nodule classification systems. Analysis of his recent publications shows strong emphasis on: (1) optimizing oncologic imaging protocols, especially PET-CT applications across cancer types; (2) advancing head and neck radiology through volumetric analysis and radiomics; and (3) transforming radiology education via gamification and digital communities. His scientific honors include: Distinguished Teaching Award (Otolaryngology, University of Utah) Honored Educator Award (Radiological Society of North America) Inaugural Fellow, Academy of Health Science Educators 25th Fellow of the Society of Imaging Informatics in Medicine Fellow of the American College of Radiology He leads the Utah Head and Neck Imaging Center of Excellence, which includes an educational YouTube channel (@UHNICE). While specific grants aren't detailed, his extensive lecture record (600+ presentations) and leadership roles in professional societies like SIIM (Program Chair 2014-2020), ASHNR (Past President), and WNRS (Past President) demonstrate significant academic influence.

• Neuroradiology
• Biomedical Informatics
• Head and Neck Imaging
• +3 more

William F. Speier is an Associate Professor in the Department of Radiological Sciences at the University of California, Los Angeles (UCLA) School of Medicine . His work spans Medical Informatics , Biomedical Engineering , and Neurology , focusing on applying Artificial Intelligence and Deep Learning to medical imaging and patient monitoring systems. Speier's research emphasizes improving diagnostics for Thyroid Cancer via multimodal ultrasound and molecular testing, advancing Brain-Computer Interfaces (BCIs) for ALS patients, and optimizing Heart Failure remote monitoring through biometric data analysis. He leads the NIH-funded project Predicting Clinically Significant Thyroid Cancer using Ultrasound (R21EB030691), integrating AI into clinical workflows. His recent publications highlight trends in High-Frequency Oscillations for epilepsy, Gleason Grading in prostate cancer, and Language Models for BCI communication. Collaborations with co-authors like Corey Arnold and Hiroki Nariai underscore his interdisciplinary approach. Speier's work also addresses Diagnostic Imaging , Neural Signal Processing , and Health Technology accessibility. Grants and clinical trial integrations further demonstrate his commitment to translating AI into practical healthcare solutions. His methodologies include 3D ConvNets , Federated Learning , and Active Learning frameworks for histopathology and radiology.

• Medical Informatics
• Biomedical Engineering
• Neurology
• +3 more

Knut Håkon Hole is an Associate Professor at the University of Oslo's Department of Radiology and Nuclear Medicine. His research focuses on diagnostic imaging applications in oncology, particularly in prostate and rectal cancers. He specializes in MRI, PET, and radiogenomics techniques to assess tumor biology, treatment response, and recurrence. Expertise: Prostate cancer imaging, neoadjuvant therapy response, tumor hypoxia, and imaging biomarkers Key affiliations: Oslo University Hospital (Rikshospitalet), Radium Hospital Research interests include: Developing MRI and PET protocols for cancer staging and recurrence detection Integrating imaging with genomic data (radiogenomics) Optimizing therapeutic approaches using imaging biomarkers Recent work highlights: Prostate cancer radiogenomics and hypoxia biomarkers (2024) MRI/PET comparisons for tumor localization (2021-2023) Neoadjuvant therapy response assessment in rectal and breast cancers (2020-2023) Publications span over 50 peer-reviewed articles with a focus on translational imaging research. Collaborates extensively with oncology and urology teams.

• Radiology
• Oncology
• Medical Imaging
• +4 more

Amar U. Kishan, MD , a tenure Professor at the David Geffen School of Medicine, UCLA , serves as Executive Vice Chair for the Department of Radiation Oncology and as Chief of the Genitourinary Service since 2019. His clinical expertise focuses on radiation treatment of prostate and bladder cancers , with pioneering work in stereotactic body radiation therapy (SBRT) and image-guided radiotherapy . Dr. Kishan graduated magna cum laude from Harvard Medical School after dual BA degrees at UC Berkeley in Molecular and Cell Biology and Public Health, followed by residency at UCLA and internship at Scripps Mercy Hospital . Education : Harvard Medical School (MD, 2012), UC Berkeley (BA in Molecular/Cell Biology & Public Health) Awards : Leonard Tow Humanism in Medicine (2021), UCLA Exceptional Physician (2024), Super Doctors® Rising Stars (2020-2024) Dr. Kishan leads translational research connecting radiation oncology with genitourinary cancer biology. His 310+ publications in journals like JAMA , Lancet Oncology , and European Urology emphasize radiation technology innovations , including MRI-guided SBRT and adaptive radiation therapy. Key trials he spearheads include ILLUSION (CT-guided SBRT) and HEATWAVE (apalutamide + SBRT). Major funding sources include National Institutes of Health , Department of Defense , and Prostate Cancer Foundation . His work has redefined prostate cancer treatment paradigms , demonstrating that high-dose radiation can match surgery in aggression cases, while multi-modal approaches improve survival rates. Dr. Kishan also contributes to re-irradiation protocols and radioresistance proteogenomics , advancing precision oncology. Key Grants : NIH, DoD, PCF, ASTRO Clinical Trials : ILLUSION, HEATWAVE, PET imaging-based radiation targeting

• Translational Research
• Clinical Outcomes Research
• Advanced Radiation Technologies
• +5 more