Artificial Intelligence and Machine Learning – News and Features

This article explores some of the challenges in developing cell lines for therapeutics, such as cell line stability, and how they are being addressed.

The study suggests the hottest years ahead will very likely shatter existing heat records, with the global goal of limiting warming to 1.5 degrees Celsius is now almost certainly out of reach.

Professor Jennifer Van Eyk joined Technology Networks for an exclusive interview at HUPO 2024 to discuss progress and bottlenecks in clinical proteomics

Computer memory could one day withstand the blazing temperatures in fusion reactors, jet engines, geothermal wells and sweltering planets using a new solid-state memory device developed by a team of engineers.

A new study has outlined that marginalized populations in California may receive less emergency assistance during wildfires.

A new, more sustainable AI model recognizes visual scenes by mirroring brain processes, opening doors for applications in medical diagnostics, drug discovery and beyond.

Researchers used glioblastoma-derived organoids to predict patient responses to CAR T cell therapy with remarkable accuracy. These organoids mirrored the tumor’s reaction to treatment in real time, offering insights into efficacy and neurotoxicity.

A UT Southwestern trial found selinexor, an FDA-approved drug, effective in KRAS-mutated non-small cell lung cancer (NSCLC). Combined with chemotherapy, it achieved tumor control in 80% of cases.

Research from SLAC-Stanford shows EV batteries last longer in real-world use than lab tests suggest. Dynamic driving conditions, such as braking and resting periods, reduce battery degradation, challenging lab-based predictions.

A new report has warned that more than three-quarters of Earth’s land became permanently drier in recent decades, even as water-related disasters intensify in other parts of the world.