Artificial Intelligence and Machine Learning – News and Features

Presenting at Technology Networks’ Innovations in Disease Modeling 2025 event, Dr. de la Fuente outlined how his lab is using artificial intelligence to reimagine antibiotic discovery – by turning to the human proteome and ancient genomes.

The system combines optical imaging with photodynamic therapy and has shown promising results in preclinical evaluations.

Scientists have developed an improved technique to comprehensively profile DNA methylation in single cells, an advance that will help researchers better study the role of epigenetics in cancer and other diseases.

A UVA Cancer Center study shows that blood cancer patients who receive partially matched stem cell transplants have survival outcomes comparable to those with fully matched donors.

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups.

New research finds that adults with higher levels of ADHD traits tend to report more insomnia and poorer life satisfaction. The study suggests that insomnia may partly mediate the link between ADHD symptoms and well-being.

An advance in 19th-century technology could offer a cheaper, more eco-friendly alternative to lithium-ion batteries.

A new population-level study from Uppsala University has found that most men treated for non-metastatic prostate cancer according to current clinical guidelines have a favorable long-term prognosis.

Karolinska Institutet scientists identified over 250 blood proteins altered by malaria, offering insight into disease severity. The study followed 72 adults and revealed protein signatures that could predict which patients are most at risk.

Researchers have developed MiROM, a new infrared-based microscopy tool that detects protein misfolding in single cancer cells. By analyzing molecular vibrations, MiROM can monitor treatment response and detect structural protein changes in real time.