Providence Genomics

Data from AbbVie and Johnson & Johnson will fine-tune OpenFold3 in a confidentiality-preserving environment, powered by Apheris.

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

The arrival of big data, artificial intelligence (AI), and shared databases, offers unparallelled potential for advancing the study and treatment of rare diseases

Beyond speed, AI has also helped reduce costs. Conventional methods required nearly $35,000 per genome analysis, but AI-driven models running on GPUs have lowered the cost to under $2,000, making high-quality genomic research more accessible.

This new approach, powered by a specialised protein large language model, predicts the most effective protein variants while using 99% less data than traditional methods.

AI-driven genomics startups leverage technology to analyze genetic data, predict predispositions, and offer personalized health recommendations.

Associate Professor Qing Zhong shared insights on AI breakthroughs in proteomics and multiomics, challenges in data sharing and his vision for a high-resolution lens on biology that could redefine science and healthcare.

Sridevi Palepu's work redefines the landscape of immuno-hematology with advanced robotics, AI-driven precision, and user-focused design.