Mathew Koretsky (@mkoretsky1) 's Twitter Profile
Mathew Koretsky

@mkoretsky1

Data and software engineer | @DataTecnica | @NIH | @uvmvermont alum

ID: 1599820231249215494

calendar_today05-12-2022 17:37:46

12 Tweet

21 Takipçi

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The Science of Parkinson's (@scienceofpd) 's Twitter Profile Photo

Genetic risk factor clustering within and across neurodegenerative conditions (such as #Parkinsons, #Alzheimers, #ALS) - from @HamptonLLeonard & colleagues; "Neurodegenerative diseases have more overlapping genetic etiology than previously expected" academic.oup.com/brain/advance-…

Genetic risk factor clustering within and across neurodegenerative conditions (such as #Parkinsons, #Alzheimers, #ALS) - from @HamptonLLeonard & colleagues; "Neurodegenerative diseases have more overlapping genetic etiology than previously expected"
academic.oup.com/brain/advance-…
Mike A. Nalls (@mike_nalls) 's Twitter Profile Photo

Been a great day for publications from the team. Mathew Koretsky and the team great job on showing genetic overlap and in some instances a depletion of genetic risk across and within neurodegenerative diseases.

Been a great day for publications from the team. <a href="/mkoretsky1/">Mathew Koretsky</a> and the team great job on showing genetic overlap and in some instances a depletion of genetic risk across and within neurodegenerative diseases.
Brain (@brain1878) 's Twitter Profile Photo

Koretsky et al. use genome-wide data to cluster patients based on genetic status across risk variants for five neurodegenerative disorders. The results suggest that neurodegenerative diseases have more overlapping genetic aetiology than previously assumed. tinyurl.com/yt39brkt

Koretsky et al. use genome-wide data to cluster patients based on genetic status across risk variants for five neurodegenerative disorders. The results suggest that neurodegenerative diseases have more overlapping genetic aetiology than previously assumed. tinyurl.com/yt39brkt
bioRxiv Genomics (@biorxiv_genomic) 's Twitter Profile Photo

GenoTools: An Open-Source Python Package for Efficient Genotype Data Quality Control and Analysis biorxiv.org/cgi/content/sh… #biorxiv_genomic

Daniel Khashabi 🕊️ (@danielkhashabi) 's Twitter Profile Photo

Long-form inputs (e.g., needle-in-haystack setups) are the crucial aspect of high-impact LLM applications. While previous studies have flagged issues like positional bias and distracting documents, they've missed a crucial element: the size of the gold/relevant context. In our

Long-form inputs (e.g., needle-in-haystack setups) are the crucial aspect of high-impact LLM applications. While previous studies have flagged issues like positional bias and distracting documents, they've missed a crucial element: the size of the gold/relevant context.

In our
Daniel Khashabi 🕊️ (@danielkhashabi) 's Twitter Profile Photo

🚨New LLM benchmark🚨 We're releasing BiomedSQL🔬 for tabular reasoning over large-scale biomedical databases. This includes questions based on implicit scientific conventions—like statistical thresholds, effect direction, and drug approval status. 📄 Preprint:

🚨New LLM benchmark🚨 We're releasing BiomedSQL🔬 for tabular reasoning over large-scale biomedical databases. This includes questions based on implicit scientific conventions—like statistical thresholds, effect direction, and drug approval status.

📄 Preprint:
Mathew Koretsky (@mkoretsky1) 's Twitter Profile Photo

We continue to evaluate these new models on our benchmark, CARDBiomedBench. Despite significant progress, there are still no models that balance response accuracy and safety on biomedical questions 👀