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Dr. Stephanie Archer is an Associate Professor and Senior Research Associate at the University of Cambridge, jointly affiliated with the Department of Psychology and the Department of Public Health and Primary Care. Her work bridges psychological science with clinical applications, particularly in cancer risk assessment and digital health interventions. Dr. Archer holds a BSc, MSc, and PhD, though specific institutions are not mentioned in available sources. Her educational background has prepared her for interdisciplinary research at the intersection of psychology, public health, and clinical medicine. Her research focuses on three primary areas: designing multifactorial cancer risk prediction tools for clinical settings; exploring patient and staff experiences of health and social care; and developing/testing digital health interventions. She employs qualitative methods extensively while also engaging with quantitative approaches for comprehensive health services research. Her work demonstrates strong translational focus, moving from theoretical frameworks to practical clinical applications. Analysis of Dr. Archer's recent publications reveals a consistent trajectory in cancer risk prediction tools (particularly CanRisk), patient experience research across multiple conditions, and implementation science for digital health interventions. Her work spans breast, ovarian, prostate, and other cancers while also addressing mental health in autistic populations and patient safety in surgical settings. The interdisciplinary nature of her research connects psychology with oncology, primary care, and public health. Dr. Archer actively contributes to clinical guidelines development, as evidenced by her involvement in the Joint ABS-UKCGG-CanGene-CanVar consensus regarding CanRisk implementation. Her research methodology combines qualitative depth with mixed-methods approaches to address complex healthcare challenges. As a Senior Research Associate and Associate Professor, Dr. Archer likely supervises PhD students and early-career researchers, though specific advisees are not documented in available sources. Her teaching interests include health psychology, health services research, qualitative methods, and intervention development. Dr. Archer collaborates across multiple research units at Cambridge, including the Primary Care Unit and likely the Centre for Cancer Genetic Epidemiology, reflecting her interdisciplinary approach to improving cancer risk assessment and patient care pathways.

• Cancer Risk Prediction
• Digital Health Interventions
• Patient Experience Research
• +2 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

Sameer Nath, MD, is an Associate Professor in the Department of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. He holds leadership roles as Vice Chair of Clinical Affairs, Clinical Practice Director at Anschutz Medical Campus, and Medical Director of Radiation Oncology at Highlands Ranch Hospital. Dr. Nath is board-certified in Radiation Oncology and practices at UCHealth Radiation Oncology and Rocky Mountain Gamma Knife Center. MD: University of California, San Diego School of Medicine (2010) Internship: University of California, San Diego (2011) Residency: Yale-New Haven Medical Center, Chief Resident in Radiation Oncology (2015) His research focuses on radiation therapy applications for prostate and lung cancers, brain metastases management, and immunotherapy-radiation combinations. He has pioneered work in stereotactic body radiation therapy (SBRT), tumor hypoxia, radiation pneumonitis prevention, and medical imaging innovations for treatment planning. Recent publications examine oligoprogressive prostate cancer management, radiation oncology nurse education, and deep learning applications in patient positioning. Dr. Nath's 15 most recent publications (2024-2017) demonstrate expertise in prostate cancer (4 articles), lung cancer (4 articles), brain metastases (4 articles), and medical imaging/education (3 articles). Key research themes include SBRT optimization, immunotherapy response monitoring, and radiation toxicity management. American Society of Radiation Oncology (ASTRO) Member Practice locations: UCHealth Radiation Oncology - Anschutz Medical Campus (Aurora, CO) and Rocky Mountain Gamma Knife Center - Anschutz Medical Campus (Aurora, CO) Hospital affiliations: UCHealth Highlands Ranch Hospital and University of Colorado Hospital

• Radiation Oncology
• Prostate Cancer
• Lung Cancer
• +3 more

Dr. Jason Chan is an Associate Professor in the Department of Radiation Oncology at the University of California, San Francisco (UCSF) School of Medicine. His clinical practice focuses on the treatment of head and neck, skull base, cutaneous, and thoracic malignancies, offering advanced techniques including Cyberknife radiosurgery and high-dose-rate brachytherapy for both initial and repeat radiotherapy. Dr. Chan received his medical degree from Brown University and completed his Internal Medicine internship at Kaiser Permanente San Francisco followed by a residency in Radiation Oncology at UCSF. His academic journey has positioned him as a prominent researcher in head and neck oncology, with particular expertise in HPV-associated oropharyngeal cancer, nasopharyngeal cancer, lung cancer, thyroid cancer, and cutaneous malignancies. His research spans multiple domains including radiation therapy optimization, AI applications in radiation oncology, cancer outcomes research, and translational studies. Dr. Chan's work frequently addresses critical questions in treatment de-escalation for HPV-positive cancers, reirradiation techniques, and health disparities in cancer outcomes. Recent publications demonstrate his leadership in investigating swallowing function outcomes, dosimetric analysis of brachytherapy, and the impact of socioeconomic factors on nasopharyngeal carcinoma outcomes. Dr. Chan actively participates in numerous clinical trials and translational studies, particularly in head and neck and lung cancers. His collaborative approach is evident in his extensive co-authorship network with colleagues at UCSF and other institutions. His work bridges clinical practice with technological innovation, especially in the application of artificial intelligence to radiation therapy planning and delivery. Dr. Chan's research portfolio reflects a commitment to improving both the precision and accessibility of cancer care while addressing significant clinical challenges in radiation oncology.

• Head and Neck Cancer
• Radiation Oncology
• HPV-associated Oropharyngeal Cancer
• +7 more

Xiaohui Xu is a Professor in the Department of Epidemiology & Biostatistics at Texas A&M University, specializing in environmental epidemiology. Her research focuses on the health impacts of air pollution, maternal and child health, genetic susceptibility, and spatial epidemiology. She collaborates extensively with institutions in China and the United States on population health studies. Education: PhD in Epidemiology, University of Pittsburgh (2007) MA in Environmental Health, Fudan University (2002) MD in Preventive Medicine, Zhejiang University (1999) Xu’s work explores how environmental exposures interact with genetic and pre-existing health conditions to affect outcomes in vulnerable populations. Her studies span respiratory health, cardiovascular effects of pollution, heavy metal toxicity in HIV patients, and adverse birth outcomes linked to air quality. She employs advanced exposure assessment techniques and spatial modeling. Recent publications highlight her focus on prenatal particulate matter exposure, gestational diabetes, ozone health effects, and pollution mitigation strategies. Collaborative trials include air purifier efficacy studies and community-based interventions for asthma management. Her research bridges environmental science, public health, and clinical epidemiology. Xu holds appointments in environmental health policy and contributes to understanding pollution’s role in chronic disease progression. Her work informs regulatory frameworks and health interventions in high-risk populations, including agricultural communities and urban asthma sufferers.

• Environmental Epidemiology
• Air Pollution
• Maternal and Child Health
• +5 more

Andrea Salonia is Associate Professor of Urology at Vita-Salute San Raffaele University , with a clinical role in the Urology Unit of IRCCS San Raffaele Hospital in Milan. He serves as Director of the URI-Urological Research Institute within the Division of Experimental Oncology at the same institution. Medical Degree: University of Milan Specialization in Urology: University of Trieste Specialization in Endocrinology: Vita-Salute San Raffaele University His research focuses on: Experimental clinical and surgical treatment of bladder and prostate cancer Functional urology in multiple sclerosis patients Male/female sexual dysfunctions Testicular cancer outcomes Male infertility and health demographics Steroid endocrinology in prostate cancer Penile anomalies and surgical rehabilitation Key research trends in 2024 publications include: Infertility-male health correlations Adiposity-fertility interactions Testicular cancer reproductive outcomes Advanced imaging for urological conditions Centralized care for rare genetic syndromes Teaching Activities (2025): Residency rotations in Surgery Courses on Endocrine/Kidney diseases Surgical patient management Outpatient clinic training Sociocultural challenges in healthcare He coordinates doctoral programs in Molecular Medicine (2020-2024) and engages in public outreach initiatives like Book City events.

• Urology
• Andrology
• Prostate Cancer
• +7 more

Tasneem Kassam Lalani serves as an Associate Professor of Radiology at UMass Chan Medical School, specifically within the T.H. Chan School of Medicine. She specializes in Abdominal Imaging and maintains an active clinical and academic presence at the institution. Education Background: BS in Zoology from University of British Columbia, Vancouver, BC, Canada MS in Physiology/Respiratory Biology from Harvard University, Cambridge, MA, United States MD from University of Alberta, Edmonton, AB, Canada Internship (Rotating) at Greater Victoria Hospitals, University of British Columbia, Victoria, BC, Canada Residency in Radiology at M.D. Anderson Cancer Center, University of Texas, Houston, TX Fellowship in Body Imaging at University of Toronto, Toronto, ON, Canada Mini Fellowship in Chest Radiology and HRCT at University of British Columbia, Vancouver, BC, Canada Dr. Lalani's research focuses primarily on abdominal imaging, with special expertise in liver imaging using the Liver Imaging Reporting and Data System (LI-RADS). Her work spans gastrointestinal radiology, oncologic imaging, and vascular imaging. She has made significant contributions to the American College of Radiology (ACR) Appropriateness Criteria, developing patient-friendly summaries for various clinical scenarios. Her research demonstrates a strong commitment to improving diagnostic accuracy, standardizing imaging protocols, and enhancing patient education in radiology practice. Analysis of her publication history reveals consistent contributions to abdominal imaging literature, with recent emphasis on implementation strategies for LI-RADS, technical optimization of CT/MRI for liver imaging, and development of patient-friendly imaging guidelines. Her work shows strong collaboration with national radiology experts and has been incorporated into clinical practice guidelines. Dr. Lalani serves as a key contributor to the ACR Appropriateness Criteria panels, particularly in areas related to abdominal imaging, gastrointestinal disorders, and liver disease. Her expertise is recognized through her numerous publications in high-impact radiology journals and her role in shaping evidence-based imaging guidelines. She maintains active collaborations with colleagues across multiple institutions, particularly in the development and implementation of standardized imaging protocols. Her work bridges clinical practice with academic research, focusing on practical applications that improve patient care and diagnostic accuracy in radiology.

• Abdominal Imaging
• Body Imaging
• LI-RADS (Liver Imaging Reporting and Data System)
• +4 more

Jeremy M G Taylor is the Pharmacia Research Professor of Biostatistics and holds professorships in the Department of Radiation Oncology in the School of Medicine and the Department of Computational Medicine and Bioinformatics at the University of Michigan. He serves as the Associate Director for Biostatistics at the Comprehensive Cancer Center and directs both the University of Michigan Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program. His educational background includes: B.A. in Honours Mathematics from Cambridge University (1978) Dip. Stat. in Statistics from Cambridge University (1979) PhD in Statistics from University of California, Berkeley (1983) Professor Taylor's research focuses on the theory and application of statistics to biomedical problems, with an emphasis on data-driven, robust, and flexible statistical methods that incorporate scientific knowledge from specific research domains. His theoretical interests span Box-Cox power transformations, robust methods, causal inference, nonparametrics, and smoothing techniques. His applied work centers on cancer and AIDS research, particularly in radiation oncology, where he has developed methods involving mixture models, stochastic processes, multistate models, and multiple imputation. His extensive publication record demonstrates a continued focus on survival analysis, longitudinal data modeling, biomarker evaluation, and clinical trial design. Recent work explores time-varying effects, joint modeling approaches, multiple imputation techniques, and the integration of external information into statistical models, with applications across various cancer types including prostate, head and neck, and liver cancers. Awarded the Mortimer Spiegelman Award from the American Public Health Association, the Michael Fry Award from the Radiation Research Society, and the Jerome Sacks Award from the National Institute of Statistical Sciences, Professor Taylor has established himself as a leading biostatistician in cancer research methodology. With over 35 years of academic experience (UCLA 1983-1998, University of Michigan 1998-present), Professor Taylor has maintained an active research program while mentoring numerous students and collaborating extensively with clinical researchers. His work bridges sophisticated statistical methodology with practical applications in cancer treatment and outcomes research. As director of the Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program, he leads a significant research team focused on advancing statistical methods for cancer research and training the next generation of biostatisticians.

• Biostatistics
• Survival Analysis
• Longitudinal Data Analysis
• +5 more

Professor Naomi Allen is a Professor in Epidemiology at the University of Oxford, based in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU). She joined UK Biobank as Senior Epidemiologist in 2011 and became Chief Scientist in 2019, where she oversees participant follow-up through linkage with routine health-related datasets and web-based questionnaires. She plays a key role in developing the scientific strategy for future enhancements of the UK Biobank study, one of the world's largest prospective cohort studies with half a million participants. Professor Allen's research program centers on the role of diet, obesity, and circulating biomarkers in cancer development. As co-Principal Investigator of the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group, she leads international pooled analyses of biomarker-prostate cancer relationships. Her work spans epidemiology, oncology, metabolic disorders, and biomarker research, with particular emphasis on investigating how obesity causes cancer through metabolomics approaches. Her recent publications demonstrate extensive utilization of the UK Biobank resource across diverse health domains. Analysis of her 15 most recent articles reveals strong focus areas in cancer biomarker discovery, metabolic syndrome and dementia risk, cardiovascular disease mechanisms, ophthalmological conditions, and innovative data linkage methodologies. The publications collectively showcase how large-scale biobank resources enable cross-disciplinary research to uncover novel disease associations and biological pathways. Professor Allen's leadership as Chief Scientist of UK Biobank positions her at the forefront of population health research. While specific awards aren't detailed in available information, her work has garnered significant attention with multiple publications being picked up by numerous news outlets, blogged about, and widely shared across social media platforms, indicating substantial scientific impact. Through her role at UK Biobank, Professor Allen supports thousands of researchers worldwide by maintaining and enhancing this critical resource. Her strategic vision ensures continued scientific value through innovative data collection methods, advanced analytical approaches, and strategic partnerships that maximize the study's utility for discovery and translation research across multiple disease areas.

• Epidemiology
• Cancer Research
• Obesity and Metabolic Disorders
• +5 more

Claire Vale is a Principal Research Fellow at the MRC Clinical Trials Unit at University College London . She specializes in evidence synthesis methods and clinical research across oncology, infectious diseases, and women's health. Current affiliation: University College London Academic rank: Research Fellow Main research areas: Cancer meta-analysis, WHO collaborations on COVID-19, women's health Her work focuses on: Prospective meta-analyses through the STOPCAP program for prostate cancer WHO REACT collaboration for rapid evidence appraisal during pandemics Patient and public involvement in clinical trial design Health equity and evidence-based implementation in healthcare She teaches evidence synthesis at both undergraduate and postgraduate levels as Departmental Graduate Tutor (Research) at UCL's Institute of Clinical Trials and Methodology.

• Cancer
• COVID-19
• Women's health
• +4 more

Maria Hedelin serves as a Senior Lecturer at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics since 2023, specializing in nutrition-dietetics intersections with cancer epidemiology, particularly prostate cancer research through dietary interventions and biomarker analysis. She earned her Doctor of Philosophy (PhD) from Karolinska Institutet's Department of Medical Epidemiology and Biostatistics in 2006, establishing her academic foundation in epidemiological methods and nutritional sciences. Hedelin's research centers on nutritional oncology, investigating how phytoestrogens, dietary fiber, and fatty acids influence cancer development and progression. Her work bridges clinical practice and population health through randomized controlled trials like PRODICA and cohort studies examining dietary patterns in Swedish cancer populations. She develops innovative assessment tools including mobile applications for dietary monitoring, emphasizing methodological rigor in nutritional epidemiology. Analysis of her 15 most recent publications reveals consistent thematic focus on prostate cancer nutrition interventions, with evolving methodological sophistication from cohort studies (2008-2013) to contemporary randomized trials (2021-2025). Her research spans dietary assessment validation, genetic-diet interactions, radiotherapy side effect mitigation, and cross-cancer applications from prostate to breast and colorectal malignancies. No major scientific awards or prizes are documented in publicly available information regarding her career achievements. While specific student advising details remain unpublicized, her doctoral thesis supervision and extensive publication record suggest active mentorship roles. Departmental context indicates involvement in Karolinska's Medical Epidemiology and Biostatistics unit which recently secured 120 million SEK in Swedish research funding (2024), supporting collaborative projects in cancer epidemiology and nutritional interventions. As a core faculty member in one of Europe's leading medical research institutions, Hedelin contributes to Karolinska Institutet's mission through interdisciplinary collaborations spanning oncology, nutrition science, and biostatistics, with growing emphasis on personalized dietary approaches based on genetic profiling in cancer care.

• Nutrition
• Dietetics
• Cancer Epidemiology
• +3 more

John Betts is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He serves as Course Director for the Bachelor of Information Technology and previously held roles as Chief Examiner and Lecturer for multiple IT units. His research focuses on computational modelling, optimization, simulation, and data science, with applications in societal polarization, healthcare, and retail inventory systems. Education: Doctor of Philosophy (Operations Research), Monash University (2003) Graduate Diploma in Statistics/Operations Research, RMIT University (1996) Postgraduate Diploma in Mathematics and Mathematics Education, University of Melbourne (1992) Diploma in Education, Monash University (1984) Bachelor of Arts, Monash University (1983) Research Interests: Dr. Betts explores computational methods to address variability in complex systems, including agent-based modeling for societal polarization, optimization in healthcare (e.g., prostate brachytherapy), and simulation-driven decision-making in retail and transportation. His work contributes to UN SDGs related to education and sustainable cities. Projects: Leading the Optimising multi-item retail inventories project (2021–2026) focusing on inventory optimization algorithms. Contributing to the Biofocussed Prostate Cancer RadioTherapy (BiRT) project (2017–2021), developing personalized radiation therapy plans. Investigating Societal Polarization dynamics via agent-based models and hate crime measurement frameworks. Advising & Grants: Dr. Betts has secured $2.5M+ in research funding, including ARC grants for retail optimization and prostate cancer treatment planning. He advises on interdisciplinary projects spanning computer science, healthcare, and social sciences. Labs/Teams: Collaborates with Monash’s Data Science Institute and the Australian Research Data Commons, contributing to the Temporal Networks Security group and Health Informatics initiatives.

• Computational Modelling
• Optimization
• Simulation
• +6 more

Cassandra Thiel serves as Assistant Professor at New York University's Robert F. Wagner Graduate School of Public Service with a joint appointment in the Department of Population Health at NYU Langone School of Medicine, bridging engineering and public health to advance sustainable healthcare systems through rigorous environmental analysis. Her academic foundation includes a PhD in Civil Engineering with specialization in Sustainable Healthcare and Green Buildings from the University of Pittsburgh, where her doctoral work established the methodological basis for healthcare life cycle assessments. Thiel's research program systematically quantifies environmental inefficiencies across medical specialties using life cycle assessment (LCA) and industrial ecology frameworks. She focuses on optimizing hospital operations, surgical workflows, and medical supply chains to reduce carbon footprints and waste streams while maintaining clinical quality. Her work spans ophthalmology, oncology, radiology, and surgical disciplines with particular emphasis on practical interventions for resource efficiency in high-volume procedures like cataract surgery and endoscopy. Analysis of her extensive publication portfolio reveals three dominant research trajectories: 1) Carbon footprinting of diagnostic and therapeutic procedures across medical specialties, 2) Waste stream characterization and reduction strategies for single-use medical devices, and 3) Policy-relevant comparisons between reusable and disposable medical equipment. These studies consistently demonstrate significant environmental improvement opportunities through supply chain optimization and procedural modifications. Her scientific recognition includes: Fulbright-Nehru Academic and Professional Excellence fellowship (2014-2015) supporting collaborative research at Aravind Eye Hospitals in India Thiel has secured research funding through competitive fellowships and institutional partnerships, notably conducting comparative environmental assessments of cataract surgeries across US and Indian healthcare settings during her Fulbright tenure. Her current projects include clinical trials of waste-reduction interventions in hand surgery with orthopedic teams at the University of Pittsburgh and developing standardized auditing tools for sustainable surgical practices. She actively translates research findings into actionable hospital sustainability programs through industry partnerships. Her collaborative network spans global healthcare institutions including Aravind Eye Hospitals (India), University of Pittsburgh Medical Center, and multiple US academic medical centers, facilitating cross-border implementation of sustainable healthcare innovations through multidisciplinary teams of engineers, clinicians, and policy experts.

• Sustainability
• Healthcare
• Life Cycle Assessment
• +4 more

Cheng-Bang Chen is an Assistant Professor in the College of Engineering at the University of Miami. His work bridges artificial intelligence, biomedical engineering, and data science with applications in healthcare diagnostics, surgical outcomes analysis, and biomechanics. He holds an ORCiD identifier (0000-0003-0025-6447) and can be reached via cxc1920@miami.edu. Research interests focus on developing AI-driven solutions for medical imaging (e.g., prostate cancer diagnosis enhancement), surgical metrics optimization (RVU/operative time correlations), and complex systems analysis using recurrence quantification methods. His multidisciplinary approach integrates machine learning with traditional engineering domains like energy systems and supply chain configurations. Recent publications (2023-2025) emphasize AI ethics in healthcare, novel surgical outcome prediction models, and biomechanical studies involving weightlifting techniques. He explores synthetic data generation to address algorithmic bias in medical diagnostics and develops advanced neural network architectures for predictive analytics. Awards and grants sections remain under development pending additional profile information. Current work involves collaborations across engineering, medical, and data science domains at the University of Miami.

• Artificial Intelligence in Healthcare
• Biomechanics
• Functional Data Analysis
• +4 more

Lara Nonell is an Associate Professor in the Department of Biosciences at the University of Vic – Central University of Catalonia and Head of the Bioinformatics Unit. She holds a Doctorate in Biomedicine from Pompeu Fabra University (2019) and has expertise in bioinformatics, cancer diagnostics, and multiomics data analysis. Her research focuses on developing computational methods for biomarker identification and cancer progression modeling. Education Doctorate in Biomedicine, Pompeu Fabra University (2019) MSc in Information Technology Management, La Salle Ramon Llull University (2000) Bachelor’s in Mathematics, Autonomous University of Barcelona (1996) Research Interests Dr. Nonell’s work integrates machine learning, bioinformatics pipelines, and multiomics data to drive precision oncology. Key areas include: Biomarker development for cancer diagnostics Epithelial-mesenchymal transition mechanisms in metastasis Gene expression profiling in leukemias and lymphomas Systems biology approaches to comorbidities like diabetes and cancer Publications Her 20+ peer-reviewed articles (2019-2023) span oncology, immunology, and bioinformatics. Recent work includes: Epigenetic drivers of hepatoblastoma progression MYC-driven gene signatures in melanoma prognosis MicroRNA regulation in cutaneous lymphomas Grants & Labs Leads the Bioinformatics Unit supporting VHIO research. Collaborations include multi-institutional projects in Barcelona’s biomedical ecosystem. No specific grants mentioned in the text.

• Bioinformatics
• Cancer Diagnostics
• Machine Learning in Biomedicine
• +3 more