Supercharging Large Language Models using KG-RAG framework

National Multiple Sclerosis Society Awards Dr. Sergio Baranzini the Barancik Prize for Innovation in MS Research

Sergio E. Baranzini, PhD, a geneticist, neuroimmunologist and data scientist at the University of California, San Francisco, is the winner of this year’s Barancik Prize for Innovation in MS Research

Read our new nature paper implicating CNS resilience in the first significant genetic marker for MS severity

We are so excited to have released our paper in Nature earlier this year as part of the International Multiple Sclerosis Genetics Consortium. We are reporting the first significant risk allele for MS severity:

Karthik's paper on embedding knowledge graphs to enhance large language models was just published on arXiv!

We just released a preprint where Dr. Soman proposes a task agnostic framework that combines the explicit knowledge of a Knowledge Graph (KG) with the implicit knowledge of a Large Language Model (LLM). Explore it for yourself on Github and read more about it on arXiv!

Charlotte's paper embedding on EMR in knowledge networks for early MS diagnosis was accepted to Oxford Academic!

PhD Candidate Charlotte Nelson just submitted a paper which has been accepted and published to Oxford Academic! You can read her wonderful paper here: https://pubmed.ncbi.nlm.nih.gov/34915552/ Congrats!

Adil Harround was recognized as best young presenter at ACTRIMS-ECTRIMS 2020!

Adil Harround presented on his work in the Baranzini Lab at the 2020 Virtual ACTRIMS/ECTRRIMS conference. He presented an oral presentation on the how a vitamin D, obesity, and other proteins contribute multiple sclerosis risk. He was among the two young investigators recognized for having the best...

Baranzini Lab's SPOKE Project wins NSF 2019 Cohort Track A Phase II Award!

The NSF announced the recipients of a $5M award over 2 years for the development of knowledge networks and our SPOKE team is among the winners!

Just Released: SPOKE Explorer is up!

The Scalable Precision-medicine Oriented Knowledge Engine (SPOKE) is a comprehensive biomedical knowledge graph connecting a wealth of information from basic molecular research, clinical insights, and many other databases.

Xiaoyuan's paper was accepted in Multiple Sclerosis journal!

iMSMS paper accepted in Multiple Sclerosis journal

Congratulations Adil!

Adil received National MS Society-American Brain Foundation Clinician Scientist Development Award  Adil also received Francis McNaughton Memorial Prize for Clinical Research, Canadian Neurological Society Adil won Best Young Investigator Oral Presentation, ACTRIMS Forum 2