Overcoming critical challenges in AI-driven drug discovery
The increasing use of AI in the life science field marks a pivotal point in history. Although AI is now an indispensable tool in drug discovery, promising to save vast amounts of time and money, there are still many hurdles scientists encounter. This webinar will explore these challenges and offer insights into how they can be overcome.
The AI model that is changing clinical trial design
By Drug Target Review
The biotech mapping thousands of hidden therapeutic clues
By Drug Target Review
Inside AACR: DARPins take aim at hard-to-treat tumours
By Drug Target Review
Solving the disconnect between lab and data scientists: part 2
By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)
Bird flu is changing – AI might help us keep up
Researchers at the University of North Carolina at Charlotte have used artificial intelligence to look at how the H5N1 bird flu virus is evolving to evade the immune system – insights that could make way for development of effective future therapies.
Programming immunity from within: in-body generation of CAR T cells
Researchers have developed a new method to generate CAR T cells directly inside the body using targeted lipid nanoparticles that deliver mRNA to T cells – offering a safer, faster and more accessible alternative to traditional cell therapies for cancer and autoimmune diseases.
Why PARP inhibitors fail: key role of the CST complex in BRCA1-deficient cancers
Researchers from UT Health San Antonio have identified the CST protein complex as a key driver of resistance to PARP inhibitors in BRCA1-deficient cancers – which could lead to more personalised treatments for breast, ovarian and prostate cancer patients.
Beyond the Lab: Clinical Trials
Explore how artificial intelligence (AI), biomarkers, and innovative trial technologies are creating a more efficient, data-driven future for drug discovery. From better patient selection to smarter trial design, see how clinical research is evolving to deliver new therapies faster.
Solving the disconnect between lab and data scientists: part 2
By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)