A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

Introduction In an era where data breaches and cyber threats are on the rise, organizations are seeking advanced solutions to ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

Consumer wearables have become everyday tools for monitoring sleep and physical activity. Researchers at the Centre for Sleep ...

Researchers have proposed an integrated eco-driving framework for fuel cell hybrid electric vehicles in multi-lane highway ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...