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Cancer treatment usually requires a team of specialists meeting weekly. This AI version gives oncologists a team on demand—six agents, live evidence, and one grounded recommendation per case
Challenge: A Genome-Scale Metabolic Modelling Tool for Non-Specialists to Enable Rapid Strain and Media Optimisation
A convolutional neural network trained on NCBI data to detect programmed ribosomal frameshifting sites. The model specializes in viral -1 slips, but has been trained on a variety of slippage sites.
Think before you bite
Genomics to decision—automated exon-level mutation detection with AI-generated personalized reports for clinicians (powered by OSS-20B)
Improve the protein expression of your synthetic gene in the CHO expression system by over 200x, for the same amount of time, plasmid, and cost.
Leveraging generative AI to streamline patient screening processes in the medical field, enhancing both patient knowledge and physician-patient communication.
PaperGraph changes the way people interact with research.
Making it easy to match patients and researchers for clinical trials.
