Tag: AI in medicine
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Unpacking the black box of AI: Explainable AI in cancer detection with Dr. Sakib Mostafa
Understanding the black box: why explainable AI matters Artificial intelligence has advanced rapidly, but one of its most consequential challenges remains the so-called “black box” problem. Dr. Sakib Mostafa, a Bangladeshi-Canadian researcher, frames this not as a sci‑fi nightmare but as a practical hurdle: the results that AI models produce can be correct yet inexplicable.…
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AI, Omics, and Systems Biology: A New Era for Heart Drug Discovery
Reinventing Heart Drug Discovery with AI and Omics Cardiovascular disease (CVD) remains the world’s leading cause of death, despite decades of medical advances. A new perspective from Brigham and Women’s Hospital and Harvard Medical School argues that the future of heart drug development lies in an integrated, data-driven framework. By combining artificial intelligence (AI), omics…
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AI helps Ont. researcher discover breakthrough antibiotic treatment for bowel disease
Ontario researchers leverage AI to advance Crohn’s and IBD treatment In a notable example of how artificial intelligence is accelerating medical progress, a McMaster University team, in collaboration with researchers from the Massachusetts Institute of Technology, has used AI to identify a promising new antibiotic treatment for Crohn’s disease and inflammatory bowel disease (IBD). The…
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Could a Simple Blood Test Detect Breast Cancer Early? Montreal Researchers Say Yes
Overview: A potential shift in breast cancer screening A team of researchers in Montreal is pursuing a simple blood test that could do more than just detect breast cancer. By combining laser-based profiling of immune cells with artificial intelligence (AI), scientists hope to identify signals in the blood that indicate the presence of breast cancer—and,…
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A Blood Test for Breast Cancer: Early Detection and Risk Stratification
A lab-to-clinic breakthrough in breast cancer screening In Montreal, researchers are pursuing a bold idea: a blood test that could not only detect breast cancer earlier but also identify which women are at higher risk. Spearheaded by Dr. Saima Hassan at the Centre hospitalier de l’Université de Montréal, the work aims to complement current screening…
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Breast Cancer Blood Test for Early Detection in Montreal
A New Approach to Breast Cancer Screening: A Blood Test? Researchers in Montreal are pursuing a blood test that could do more than screen for breast cancer. The goal is to identify not only the presence of cancer but also which women are at higher risk, potentially broadening access to screening for people in remote…
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Large Language Models in Lung Cancer: A Systematic Review
Introduction: The promise and challenge of LLMs in lung cancer care Lung cancer remains a leading cause of cancer mortality worldwide. Advances in early detection, such as low-dose CT screening, and integrated full‑cycle management offer the potential to improve survival and quality of life. At the same time, realizing these gains requires handling vast, heterogeneous…
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Radiomics in NPC: AI Predicts Immunotherapy Response More Accurately Than Clinical Models
Unlocking Radiomics for Nasopharyngeal Carcinoma (NPC) Nasopharyngeal carcinoma (NPC) is a highly aggressive cancer often diagnosed at locally advanced stages. In recent years, immune checkpoint inhibitors (such as PD-1 blockers) have offered new hope, yet most patients derive only limited durable benefit. A multicenter study led by researchers from the First Affiliated Hospital of Jinan…
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Radiomics Surpasses Clinical Models in NPC Treatment Outcome Prediction
Groundbreaking Insight: Radiomics Elevates NPC Immunotherapy Prediction Nasopharyngeal carcinoma (NPC) remains a highly aggressive cancer, with most patients presenting at locally advanced stages. While immune checkpoint inhibitors, including PD-1 blockade, have reshaped treatment strategies, only a subset of patients derives durable benefit. A multicenter study led by Prof. Shuixing Zhang and Prof. Bin Zhang from…
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Rising MASLD Cases: Exams, AI Roles, and Prevention in Fatty Liver
Understanding the Surge in MASLD Fatty liver disease is increasingly common worldwide, with MASLD (Metabolic Dysfunction-Associated Steatotic Liver Disease) emerging as the predominant form. Global estimates place the prevalence around 38% among adults, with a notable 15% increase over the last two decades. MASLD often coexists with metabolic disorders such as obesity, type 2 diabetes,…