Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

The pigeons in the study even started recognizing other health problems they weren't trained on.

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

My expertise lies in financial analysis, risk management, data analysis using SQL, Python, and machine learning tools. I have worked in diverse roles, from assurance to financial analysis and trade ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Pan-cancer outcome prediction via a unified weakly supervised deep learning model Pre-requisites All experiments are run on a machine with 1 NVIDIA RTX A6000 GPU Python (Python 3.10) and Pyotrch ...