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, ...

People with anxiety or depression show distinct patterns in their gut bacteria, and commonly prescribed psychiatric ...

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 ...

Using AI to improve diagnosis of rare genetic disorders Date: April 25, 2024 Source: Baylor College of Medicine Summary: Diagnosing rare Mendelian disorders is a labor-intensive task, even for ...

The most important class of applied optimal control problems are time-optimal control problems. The linear speed limit problem for dynamic control objects with scalar input is discussed. By means of ...