A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
Please provide your email address to receive an email when new articles are posted on . During two prospective evaluations, forecasts had a mean absolute error of 3.1 ...
The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially devastating storms whose heavy rainfall and powerful storm surges cause dangerous ...
Utility of deep versatile classifier for accurate subtyping of lung adenocarcinoma using hematoxylin-eosin images. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...
Japan is famous for its beautiful mountain landscapes as well as for the challenges it offers to avid mountaineers. However, these mountains can get so treacherous that Japan actually records one of ...
Optibrium Limited, a leading provider of software and artificial intelligence (AI) solutions for drug discovery, announced the publication of a peer-reviewed study in the Journal of Computer-Aided ...
The first filing from Cancerrisk AI Inc. describes their development of a system that uses deep learning to predict future cancer risk from a biopsy image.
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, resource-intensive simulations. Researchers at Chungnam National University have ...
To address the high number of mountaineering accidents in Japan, researchers developed a deep learning model that uses contextual information such as time of day, environmental conditions, and ...
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