Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...
6hon MSN
Quantum-inspired AI could tailor patients' cancer treatment to their entire molecular background
For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...
Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
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 ...
Researchers created a DIA-MS atlas of 13,609 proteins across 2,856 samples from fetal, healthy adult, paired non-tumor, and ...
Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...
From https://www.kaggle.com/ambarish/breakhis description: The Breast Cancer Histopathological Image Classification (BreakHis) is composed of 7,909 microscopic images ...
[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 ...
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