Advances In Functional Neurosurgery: Machine Learning, Neural Engineering, And Robotics In Treatment Of Neurodegenerative Disorders

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.

Amplifica is developing new molecules for hair growth, with clinical trials expected soon, while Engraft Technologies is improving FUE robotic technology to make hair transplants faster and cheaper. Users express interest in the timeline for AMP-303 and concerns about high costs and effectiveness of current treatments.

Potential future hair loss treatments include stem cell therapy, Clascosterone (Breezula), Amplifica's signaling molecules, Botox, and dutasteride mesotherapy. Some treatments are promising but expensive, like Tsuji's technique, while others, like Botox, show unexpected results.

Finasteride, minoxidil, and derma rolling are currently the best treatments for hair loss. New treatments like TDM-105795, GT20029, PP405, HMI 115, Tsuji, Scube 3, RU, JW0061, Topilutamide, and verteporfin show promise but have uncertain timelines.

The conversation discusses the complexity of finding a cure for hair loss, mentioning treatments like finasteride, dutasteride, and potential future solutions involving AI. It highlights skepticism about a quick solution due to testing and approval processes, while some users express hope in AI's potential to develop effective treatments.

The conversation discusses potential future hair loss treatments, including SCUBE3, hair follicle cloning, and GT20029, with mentions of past disappointments like CosmeRNA and hopes for treatments like Verteporfin for infinite donor hair.