A new method called MIGHT accurately quantifies uncertainty in medical AI predictions, enhancing confidence in diagnostic ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
The "Artificial Intelligence In Pharmaceutical Market Report by Technology, Offering, Application, Deployment Mode, Countries and Company Analysis, 2025-2033" report has been added to ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, introduced a significant development—Multi-Class Quantum Convolutional Neural Network (Quantum ...
Imagine being able to compose an email or steer a wheelchair directly with your thoughts. For millions of people living with ...
M donation from Thomas Kevill is helping Dr. Varun Chaudhary pair retinal imaging with artificial intelligence and machine ...
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
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