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, ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

The sPHENIX particle detector, the newest experiment at the Relativistic Heavy Ion Collider (RHIC) at the U.S. Department of ...

Agent credentials should be stored in a secure, automated credential vault, with policies enforcing regular rotation, access logging, and immediate revocation if misuse is detected. Organizations must ...

Untargeted lipidomics analysis is widely performed using a variety of mass spectrometric methods. The original procedure, ...

With a novel approach to X-ray spectroscopy, researchers are now able to capture detailed, ultrafast snapshots of electron ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

OpenAI CEO Sam Altman has announced the launch of ChatGPT Agent, a new AI tool capable of performing complex digital tasks on ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

The experimental data of the studied thermophysical properties are used to compute excess molar volumes (VE), deviation in dynamic viscosity (Δη), and deviation in refractive index (Δ nD) based on the ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the ...

When applying machine learning (ML) approaches for the prediction of bioactivity, it is common to collect data from different assays or sources and combine them into single data sets. However, ...