Tag: deep learning
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Lights, camera, algorithm: Why Indian cinema is awash with AI
Introduction: AI takes the spotlight in Indian cinema From script rooms to screening rooms, artificial intelligence is reshaping Indian cinema at a pace not matched by many other industries. The world’s largest film industry is increasingly treating AI as a creative partner, a production assistant, and even a co-creator in some cases. While Hollywood has…
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AI-powered Chest X-ray Aging Screen: Early Signs of Body Aging Revealed
What the Study Finds Recent research published in The Journals of Gerontology suggests that artificial intelligence (AI) can extract signals from chest X-rays that correlate with biological aging. A deep learning model was trained to identify subtle features in chest radiographs that human readers may overlook, and these features appeared to align with markers of…
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AI Signals Aging Pace: Chest X-Rays Reveal Early Body Aging
New Frontiers in Aging Research Scientists are exploring how artificial intelligence (AI) can extract meaningful clues about the body’s aging process from a routine chest X-ray. A study published in The Journals of Gerontology reports that a deep learning model could identify subtle, age-related patterns in chest radiographs that align with a person’s biological aging.…
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MIT’s Deep-Learning Model Predicts Fruit Fly Cell Behavior with 90% Accuracy
Overview: A New Window into Early Development Researchers at the Massachusetts Institute of Technology, led by associate professor Ming Guo, have unveiled a deep-learning model that can predict, minute by minute, how individual cells in a developing fruit fly embryo move, fold, divide, and rearrange. The breakthrough sits at the intersection of biology and artificial…
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MIT Model Predicts Fruit Fly Cell Behavior with Notable 90% Accuracy
MIT Unveils a Deep-Learning Breakthrough in Embryonic Cell Dynamics Researchers at MIT have developed a deep-learning model that can predict, minute by minute, how individual cells will fold, divide, and rearrange in the earliest stages of a fruit fly embryo. Led by Ming Guo, an associate professor of mechanical engineering, the team’s work marks a…
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MIT Deep-Learning Model Rearranges Our Understanding of Fruit Fly Cells
MIT Unveils a Deep‑Learning Tool to Predict Fruit Fly Cell Behavior Researchers at MIT, led by associate professor Ming Guo, have developed a cutting‑edge deep‑learning model that forecasts minute‑by‑minute cell actions in fruit fly embryos. The breakthrough promises to illuminate the earliest stages of development and could reshape how scientists study cell mechanics, tissue formation,…
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AI-Driven CVD Prediction from Longitudinal Iran Data: Development and Validation
Overview Cardiovascular disease (CVD) remains a leading cause of mortality worldwide, with Iran experiencing particularly high rates. This article summarizes a study that develops and validates an artificial intelligence (AI) based model to predict CVD events using longitudinal health data collected over time. By leveraging deep learning and mixed-effects logistic modeling, the research aims to…
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AI-Based Cardiovascular Disease Prediction: Insights from Longitudinal Data in Iran
Overview Cardiovascular disease (CVD) remains a leading cause of mortality worldwide. In Iran, where mortality rates from heart conditions are notably high, researchers are turning to artificial intelligence (AI) and machine learning (ML) to improve risk prediction. This article summarizes the development and validation of an AI-based model designed to predict cardiovascular events using longitudinal…
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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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Deep Learning in Dermatoscopy for Basal Cell Carcinoma Diagnosis: A Systematic Review and Meta-Analysis
Introduction Basal cell carcinoma (BCC) is the world’s most common nonmelanoma skin cancer, with incidence on the rise and significant implications for patients’ cosmetic outcomes and healthcare systems. Dermatoscopy enhances lesion visualization, but diagnostic accuracy can vary among observers. In recent years, deep learning (DL) algorithms trained on dermatoscopic images have emerged as a promising,…