New study reveals how your home address can predict your risk of Type 2 diabetes
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Updates every hour. Last Updated: 21-Dec-2025 02:11 ET (21-Dec-2025 07:11 GMT/UTC)
Synaptic plasticity — the brain’s ability to modify the connections between neurons to support learning — is one of the neural functions profoundly altered in Huntington’s disease, with a direct impact on brain function. Researchers at the University of Barcelona used an innovative optogenetic tool to show that astrocytes, a type of brain cell traditionally considered to play a supporting role, also influence this plasticity and are themselves altered in Huntington’s disease. These results, obtained in animal models, open up new avenues for addressing this genetically driven neurodegenerative disease in patients.
A research paper by scientists at Beijing Institute of Technology presented a carrier-free tumor-suppressing peptide–daunorubicin–siRNA (PDR) nanoassembly.
The research paper, published on Nov. 5, 2025 in the journal Cyborg and Bionic Systems.Targeting Casitas B-lineage lymphoma-b (CBLB), Insilico Medicine announced the nomination of ISM3830, its 23rd AI-empowered preclinical candidate (PCC) since 2021, in late November 2025, which demonstrated low toxicity risks, favorable ADME/PK profiles, as well as induction of long-term tumor immunity, cracking the bottleneck in metabolism and absorption of previously reported CBLB inhibitors.
Shortly beforehand, the discovery process and evaluation of CBLB inhibitors with a different scaffold were published in the Journal of Medicinal Chemistry. The paper highlights Compound 10, a potent, orally available lead compound with novel scaffold promising druggability, providing an AI-driven optimization roadmap for CBLB inhibition strategies.
Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis challenging. Traditional imaging is costly and slow, while EEG offers a cheaper, portable option—but interpreting signals has been difficult. FAU researchers have developed a deep learning model that analyzes EEG brain activity to accurately detect both type and severity of dementia. This AI-driven approach identifies key brainwave patterns, enabling faster, noninvasive, and precise monitoring of disease progression, transforming dementia diagnosis and care.
A research paper by scientists at Chinese Academy of Sciences presented a magnetically actuated soft electrode (MSE) with precise navigation, adaptive attachment, and high-fidelity signal acquisition.
The research paper, published on Oct. 24, 2025 in the journal Cyborg and Bionic Systems.