This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

A team with Professor Krishna Shrinivas designed a computational framework using machine learning algorithms to design ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

BERKELEY HEIGHTS, NJ, UNITED STATES, October 1, 2025 /EINPresswire.com/ -- Introduction Sachin Dave, Associate Vice President ...

Scientists have developed and tested a deep-learning model that could support clinicians by ... fMRI data and ran a side-by-side comparison of explainability methods. Gradient-based techniques ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

For thousands of years traditional Chinese medicine (TCM) practitioners have checked patients’ tongues as part of a full ...