News
New research reveals an innovative wildlife forensics method that uses advanced genetic tools and local DNA databases to help authorities solve complex environmental crimes involving multiple species.
Gene editing may hold the key to rescuing endangered species—not just by preserving them, but by restoring their lost genetic ...
In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...
4d
PsyPost on MSNCommon antidepressants and anti-anxiety drugs tied to major shifts in gut microbiome compositionPeople with anxiety or depression show distinct patterns in their gut bacteria, and commonly prescribed psychiatric ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
15d
Everyday Health on MSNThe 10 Best Heart Rate Monitors for Fitness Tracking, Tested and Doctor-ApprovedLearn why you can trust us.ON THIS PAGEOur Top PicksBest for BeginnersBest Chest Strap MonitorBest WristBest for All-Day WearSee more (13) Whether you're trying to lose weight, train for a marathon, ...
moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.
Disrupting the G-loop cycle causes transcriptome dysregulation and genome instability, revealing key role in cell survival and homeostasis.
Google DeepMind creates super-advanced AI that can invent new algorithms AlphaEvolve has already made Google's data centers more efficient and improved Tensor chips.
AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more.
Unlike other models that use memory-intensive applications like gradient descent to train their neural networks, [Jean Michel Sellier] is using a genetic algorithm to work within the confines of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results