Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by a team of scientists combining systemic immunology, genomics and machine ...

Hyderabad, 11 February 2026: iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling ...

Current Genomics is now accepting submissions. This journal publishes high-impact research across genome science, including ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...

In today's digital-first world, data is not just information--it is insight, strategy, and competitive advantage. From ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Obstructive sleep apnea (OSA) and interstitial cystitis/bladder pain syndrome (IC/BPS) are chronic conditions that significantly impact patients' quality of life. OSA involves recurrent upper airway ...