Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
Nature

Distributed Deep Learning and Model Parallelism

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

AI model enables early wheat yield prediction, aiding farm decisions

Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field sensors and deep learning ...
News-Medical.Net on MSN

AI model flags hidden breast cancers years before diagnosis in routine mammograms

By Hugo Francisco de Souza A large NHS screening study shows that artificial intelligence can detect subtle signals in ...

Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
Tech Xplore

New deep learning framework solves the cold-start problem

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

As wildfires intensify, researchers test if AI can improve fire spread prediction

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...
ascopubs.org

Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Analytics Insight

Deep Generative Models, Stanford University

Stanford University’s Deep Generative Models (XCS236) is a graduate-level, professional online course offered by the Stanford ...
Analytics Insight

Best Neural Networks Courses in 2026 for AI and Deep Learning

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...