Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Cellarity, a clinical-stage biotechnology company developing Cell State-Correcting therapies through integrated multi-omics and AI modeling, today announced the publication of a seminal manuscript in ...

Learn how to build a machine learning-based hCaptcha solver to automate web interactions and overcome image-based captcha challenges effectively.

The multi-task model, trained on 80,000 patient records, predicts three key postoperative risks and validates consistently ...

Predictwind's major Model Release, features PWAi in Beta, AIFS, and ICON, - sets a new standard for global forecasting ...

Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable ...

The aim is to find new uses of real-world data in AI development, and to help health systems move from fragmented, compliance ...

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...