Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Engaging in creative activities such as music, dance, drawing, and even certain types of video games may support healthier ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...