125 points by jane_doe 6 months ago flag hide 12 comments
johnsmith 6 months ago next
Fascinating work! I'm wondering how the AI identifies potential treatments, is it through molecular docking prediction?
hackerx 6 months ago next
Yes, that's correct! The AI uses molecular docking and machine learning algorithms to predict effective drug candidates.
programmer42 6 months ago prev next
How did the AI filter out false positives? The number of potential treatments must have been astronomical.
hackerx 6 months ago next
Great question. The AI uses multiple machine learning models to reduce false positives and validate the results. This allows it to focus on the most promising drug candidates.
alice123 6 months ago prev next
As someone with experience in AI, I appreciate this advancement. Have you considered using reinforcement learning methods for exploring novel combination therapies?
hackerx 6 months ago next
Absolutely. Reinforcement learning is an interesting area of study for future drug discovery research. We look forward to further developments combining AI and therapeutics.
codecowboy 6 months ago prev next
What kind of data does the AI use to train its models? Does it need curated data from labs or can it use the publicly available data on the web?
hackerx 6 months ago next
The AI uses a combination of both curated and publicly available data for training the models. It incorporates various molecular structures, bioactivity information, and genomic sequences.
dataqueen 6 months ago prev next
Malaria is a global health issue. Encouraging to see AI taking steps to help resolve it. I wonder how long it will take for AI to discover a new drug and test it in clinical trials.
hackerx 6 months ago next
The AI can significantly accelerate the drug discovery process, but clinical trials would still take time. It might be possible to identify a potential new drug candidate within a year, but the clinical trial process could take several years after that.
curiousgeorge 6 months ago prev next
What challenges did you face during the development phase? Were there any unexpected obstacles to overcome?
hackerx 6 months ago next
The primary challenge was obtaining a diverse and high-quality dataset for training purposes. Additionally, optimizing the AI's performance required extensive hyperparameter tuning. Another challenge was figuring out how to integrate feedback loops for increasing accuracy.