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Glioblastoma Multiforme (GBM) is a malignant brain cancer forming around 48% of al brain and Central Nervous System (CNS) cancers. It is estimated that annually over 13,000 deaths occur in the US due to GBM, making it crucial to have early…

Image and Video Processing · Electrical Eng. & Systems 2022-01-28 Sauman Das

INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming to personalize treatment and improve outcomes, which was deployed…

The primary object of a phase I clinical trial is to determine the maximum tolerated dose (MTD). Typically, the MTD is identified using a dose-escalation study, where initial subjects are treated at the lowest dose level and subsequent…

Methodology · Statistics 2014-05-07 Joseph S. Koopmeiners , Andrew Wey

Melanoma detection is vital for early diagnosis and effective treatment. While deep learning models on dermoscopic images have shown promise, they require specialized equipment, limiting their use in broader clinical settings. This study…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Volodymyr Sydorskyi , Igor Krashenyi , Oleksii Yakubenko

Brain metastases are a complication of primary cancer, representing the most common type of brain tumor in adults. The management of multiple brain metastases represents a clinical challenge worldwide in finding the optimal treatment for…

Image and Video Processing · Electrical Eng. & Systems 2024-03-28 Ana Sofia Santos , Matheus Silva , Crystian Saraiva , José Soares , Victor Alves

Major depressive disorder is a serious and heterogeneous psychiatric disorder that needs accurate diagnosis. Resting-state functional MRI (rsfMRI), which captures multiple perspectives on brain structure, function, and connectivity, is…

Machine Learning · Computer Science 2023-08-21 Yunsong Luo , Wenyu Chen , Ling Zhan , Jiang Qiu , Tao Jia

As machine learning (ML)-based decision support tools proliferate in clinical practice, understanding how clinicians integrate personalized ML predictions alongside randomized controlled trial (RCT) evidence is critical. We designed a…

Human-Computer Interaction · Computer Science 2026-05-19 Zeshan Hussain , Barbara D. Lam , Fernando A. Acosta-Perez , Irbaz Bin Riaz , Maia Jacobs , Andrew J. Yee , David Sontag

Inherited retinal diseases (IRDs) are a diverse group of genetic disorders that lead to progressive vision loss and are a major cause of blindness in working-age adults. The complexity and heterogeneity of IRDs pose significant challenges…

Image and Video Processing · Electrical Eng. & Systems 2024-10-15 Han Trinh , Jordan Vice , Jason Charng , Zahra Tajbakhsh , Khyber Alam , Fred K. Chen , Ajmal Mian

Currently, there is a noticeable lack of AI in the medical field to support doctors in treating heterogenous brain tumors such as Glioblastoma Multiforme (GBM), the deadliest human cancer in the world with a five-year survival rate of just…

Artificial Intelligence · Computer Science 2025-12-09 Krishna Arun , Moinak Bhattachrya , Paras Goel

Introduction: Multiple Sclerosis (MS) is a chronic disease that affects millions of people across the globe. MS can critically affect different organs of the central nervous system such as the eyes, the spinal cord, and the brain.…

Image and Video Processing · Electrical Eng. & Systems 2023-02-21 Atif Shah , Maged S. Al-Shaibani , Moataz Ahmad , Reem Bunyan

The current methods for diagnosing Alzheimer Disease using Magnetic Resonance Imaging (MRI) have significant limitations. Many previous studies used 2D Transformers to analyze individual brain slices independently, potentially losing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Juan A. Castro-Silva , Maria N. Moreno Garcia , Diego H. Peluffo-Ordoñez

Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges to developing the early…

Machine Learning · Computer Science 2022-01-03 Md Manjurul Ahsan , Zahed Siddique

Mendelian randomization (MR) is a widely-used method to estimate the causal relationship between a risk factor and disease. A fundamental part of any MR analysis is to choose appropriate genetic variants as instrumental variables.…

Methodology · Statistics 2023-04-26 Ashish Patel , Francis J. DiTraglia , Verena Zuber , Stephen Burgess

Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status are important prognostic markers for glioma. Currently, they are determined using invasive procedures. Our goal was to develop artificial intelligence-based methods to…

Image and Video Processing · Electrical Eng. & Systems 2023-03-07 Satrajit Chakrabarty , Pamela LaMontagne , Joshua Shimony , Daniel S. Marcus , Aristeidis Sotiras

Background and Purpose: Biopsy is the main determinants of glioma clinical management, but require invasive sampling that fail to detect relevant features because of tumor heterogeneity. The purpose of this study was to evaluate the…

Quantitative Methods · Quantitative Biology 2019-08-08 Emily E Diller , Sha Cao , Beth Ey , Robert Lober , Jason G Parker

While many novel therapies have been approved in recent years for treating patients with multiple myeloma, there is still no established curative regimen, especially for patients with high risk disease. In this work, we use a mathematical…

Optimization and Control · Mathematics 2022-11-18 Mahya Aghaee , Urszula Ledzewicz , Michael Robbins , Natalie Bezman , Hearn Jay Cho , Helen Moore

Tumors can manifest in various forms and in different areas of the human body. Brain tumors are specifically hard to diagnose and treat because of the complexity of the organ in which they develop. Detecting them in time can lower the…

Image and Video Processing · Electrical Eng. & Systems 2024-03-18 Antonio Curci , Andrea Esposito

Glioblastoma (GBM) is a highly aggressive primary brain tumor with limited therapeutic options and poor prognosis. The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter is a critical molecular biomarker…

Machine Learning · Computer Science 2026-01-13 Hasan M Jamil

Malignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about…

Computers and Society · Computer Science 2019-08-22 Avishek Choudhury

Introduction: The potential for multi-cancer early detection (MCED) tests to detect cancer at earlier stages is currently being evaluated in screening clinical trials. Once trial evidence becomes available, modelling will be necessary to…

Methodology · Statistics 2025-02-19 O Mandrik , S Whyte , N Kunst , A Rayner , M Harden , S Dias , K Payne , S Palmer , MO Soares