Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Explore the legal and technical hurdles in filing Updated Returns under Section 139(8A), including Excel utility dependencies and procedural ...

Build a voice assistant on Raspberry Pi using ElevenLabs and Open Meteo, so you get live forecasts hands free.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

For all the excitement surrounding artificial intelligence, many leadership teams are still waiting to see its impact show up where it matters most. The promised gains in efficiency and output often ...

The Department of Health and Human Services' (HHS') health tech arm wants to hear from the healthcare industry about ways to speed up the adoption of artificial intelligence in medical treatment. The ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

For much of its history, corporate automation adoption has been a slow, incremental process. That steady march is now poised to become a transformative leap. We are at the inflection point when the ...