Foundation model reads spontaneous electrical activity in brain organoids
Researchers trained an electrical foundation model named PULSE on more than 900 hours of microelectrode array recordings from lab-grown neural tissue and brain organoids.
Organoid imaging and machine learning spot liver-toxic drugs
Researchers combined high-content imaging of patient-derived human liver organoids with machine learning to identify drugs that cause liver injury, classifying 54 known hepatotoxicants and 20 non-toxic controls.
Genialis and Inventia partner to build patient-matched 3D pancreatic cancer models
Genialis and Inventia Life Science have partnered to match bioprinted 3D pancreatic cancer models with specific clinical patient subtypes.
Machine learning model tunes organ-on-chip media to better mirror human liver disease
LIV2TRANS uses machine learning to map transcriptional data from microphysiological tissue models onto human clinical profiles to identify media supplements that maximize biological relevance.
Autonomous laboratory robot tests physical inputs on living cells and embryos
Researchers built MOMbot, an automated hardware and software platform that delivers chemical, electrical, mechanical, and thermal cues to biological specimens while an active-learning algorithm decides the next test.
Kidney organoids show glucose triggers tissue damage independent of immune cells
High glucose levels induce direct tissue-level inflammation and epithelial cell detachment in human stem cell-derived kidney organoids, according to a study led by researchers at the University of Washington and the University of Miami.
Self-supervised AI maps four-dimensional mitochondrial dynamics from light-sheet microscopy
Scientists developed MitoSpace, a self-supervised deep learning model trained on terabytes of time-lapse, three-dimensional lattice light-sheet imaging of mitochondria under various chemical and biological perturbations.