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 ...

Endometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and increasing up to 3% annually.

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...

AI‑guided analysis surfaces a new CAR T target with multi‑cancer activity, as Penn researchers validate GPNMB‑directed CAR T cells in preclinical models.

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

Apple may skip the high-end M6 chips and shift premium Macs to AI-focused M7 processors, making the upgrade decision tougher for power users. If you can only read one tech story a day, this is it. We ...

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 ...