Machine Learning Applications for Drug Repurposing

The conversation discusses GT20029, a drug in Phase II trials that targets androgen receptors with minimal systemic effects, and TDM-105795, a growth stimulant with a different mechanism than minoxidil that may revive papilla stem cells. Both are potential new treatments for hair loss.

AI advancements, like AlphaFold, are speeding up drug discovery for hair loss, promising more effective treatments. Current options like minoxidil and finasteride have limitations, but new developments could improve solutions in 5-10 years.

A user is interested in Absci's AI-driven antibody platform, ABS-201, for treating androgenetic alopecia, which shows promising preclinical results and potential for hair regrowth and pigmentation restoration. However, concerns are raised about the drug's development timeline and its advantages compared to existing treatments.

The conversation discusses potential hair loss treatments, including clascoterone, GT20029, ET-02, VDPHL01, and PP405, with hopes for new options by 2028. Current treatments like minoxidil and finasteride are expected to remain effective, with clascoterone and VDPHL01 as promising alternatives.

A user created a tracker for hair loss treatments in clinical development, including compounds like Dermaliq, RU58841, and Pyrilutamide. The tracker updates with new information and allows filtering by conditions like androgenetic alopecia (AGA) and alopecia areata (AA).

New hair loss treatments like GT20029, Clascoterone, and PP405 are being discussed, with concerns about how to apply multiple topicals alongside existing treatments like minoxidil and finasteride. Suggestions include creating a routine, mixing treatments, or minimizing redundancy in treatment stacks.