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Scientists at the University of Plymouth created the open-source LabEmbryoCam, a robotic tool to monitor aquatic embryo development. Using 3D printing and AI, it tracks growth, heart rate and environmental impacts on embryos.

Japanese researchers developed a deep-learning AI model to predict organoid quality early in development, achieving 70% accuracy compared to less than 60% by experts. The model classifies organoids without genetic modification.

The first computer algorithm capable of identifying which tumor cells are driving aggressive cancer growth has been created.

Researchers at TU Delft have shown that E. coli bacteria can synchronize their movements in micro-engineered cavities, creating order in chaotic systems. This could enable the development of controllable biological oscillator networks.

Researchers at UC San Diego and the Allen Institute for AI developed Spherical DYffusion, a generative AI model predicting 100 years of climate patterns in 25 hours – 25x faster than traditional models.

Researchers have identified that the SARS-CoV-2 spike protein accumulates in the brain's protective layers, potentially explaining the neurological symptoms of long COVID.

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study.

Researchers have documented the epigenetic signatures of over 200 cell lines derived from malignant blood diseases, creating the most extensive epigenetic database.

A new video-based machine learning tool can identify otherwise undetectable early signs of Alzheimer's disease like irregular behaviors.

Researchers developed a gene therapy to enhance placental function by delivering IGF-1 DNA using nanoparticles. Tested in rhesus macaques, the therapy improved placental health without adverse effects.