The world of Generative AI is developing at a pace never before seen in the history of technology. It is being deployed across the entire spectrum of fields, from software development to visual storytelling. The ability of these models to synthesize output beyond the sum of the parts they've been trained on has captured the imagination of scientists worldwide.
Nowhere is this potential more transformative than in biomedicine, where understanding complex biological systems is the key to deciphering disease processes, accelerating drug discovery, and driving breakthrough research.
Generative models have rapidly become front and center in biomedical R&D, reshaping areas such as:
Protein structure prediction
Small-molecule design
Multi-omics and patient-health data integration
Genome synthesis
Automated scientific reasoning
Lab automation and beyond
As a translational computational-biology lab based in Pakistan, we believe that integrating generative biology into our workflows, and contributing home-grown innovations, will ensure we remain at the cutting edge rather than trailing larger players. This conviction inspired the launch of the Precision Medicine Lab GenBio Initiative.
Expaning the current work in AI-generated minibinders as an alternative to traditional antivenoms in Pakistan
Pakistan's largest histopathology imageset with a model trained for cancer detection on low-cost Images
Training students from diverse backgrounds to apply generative AI for solving biomedical problems, bridging biological data understanding with practical model development and collaborative research.
The 12-week GenBio internship equips computer science students with an understanding of biology and AI skills needed to solve real-world biomedical challenges.
Dr Faisal Khan
PI, Precision Medicine Lab
Syed Tauheed
Lead, GenBio Team
Arsalan Riaz
Lead, Multiomics Team
Saroosh Khan
Research Assistant II, GenBio Team