Tomiko Oskotsky
@tomiko20.bsky.social
Reposted by Tomiko Oskotsky
We were honored to share our 10 yr anniversary “A Decade of Impact: Celebrating @atulbutte.bsky.social & BCHSI@10” w/ 200+ people, faculty & community. Read our 10 Yr Report & Watch the recording! bakarinstitute.ucsf.edu/news/decade-... @ucsanfrancisco.bsky.social
@ucsfmedicine.bsky.social
@ucsfmedicine.bsky.social
August 25, 2025 at 5:15 PM
We were honored to share our 10 yr anniversary “A Decade of Impact: Celebrating @atulbutte.bsky.social & BCHSI@10” w/ 200+ people, faculty & community. Read our 10 Yr Report & Watch the recording! bakarinstitute.ucsf.edu/news/decade-... @ucsanfrancisco.bsky.social
@ucsfmedicine.bsky.social
@ucsfmedicine.bsky.social
Reposted by Tomiko Oskotsky
Treten bei der Verteilung medizinischer #Daten Cluster auf, kann das die Ergebnisse verfälschen. Dr. Martin Papenberg und @guwek.bsky.social von der @hhu.de zeigen mit Forschenden der @ucsf-bchsi.bsky.social unter Leitung von @tomiko20.bsky.social ein neues Verfahren, das #Clustering verhindert.
Anticlustering für bessere Verteilung medizinischer Daten
Daten in Gruppen aufzuteilen, ohne dass sich dabei ungewollte Cluster mit ähnlichen Elementen bilden, ist etwa für die Auswertung medizinischer Daten von großer Bedeutung.
healthcare-in-europe.com
August 22, 2025 at 6:37 AM
Treten bei der Verteilung medizinischer #Daten Cluster auf, kann das die Ergebnisse verfälschen. Dr. Martin Papenberg und @guwek.bsky.social von der @hhu.de zeigen mit Forschenden der @ucsf-bchsi.bsky.social unter Leitung von @tomiko20.bsky.social ein neues Verfahren, das #Clustering verhindert.
Reposted by Tomiko Oskotsky
Really cool work from @hhu.de colleagues Martin Papenberg )(psychology) and @guwek.bsky.social (computer science), together with researchers at UCSF and Stanford! 👇
www.hhu.de/en/news-arti...
www.hhu.de/en/news-arti...
Psychology and computer science: Publication in Cell Reports Methods
Avoiding the formation of unwanted clusters of similar elements when dividing data into groups is of great importance for the analysis of medical data. Psychologists and computer scientists from Heinr...
www.hhu.de
August 19, 2025 at 1:14 PM
Really cool work from @hhu.de colleagues Martin Papenberg )(psychology) and @guwek.bsky.social (computer science), together with researchers at UCSF and Stanford! 👇
www.hhu.de/en/news-arti...
www.hhu.de/en/news-arti...
Reposted by Tomiko Oskotsky
We look forward to seeing you at our 10 year anniversary symposium Tues., August 19th ""A Decade of Impact: Celebrating @atulbutte.bsky.social & BCHSI@10." Full agenda is up! calendar.ucsf.edu/event/a-deca... @ucsfhealth.bsky.social @ucsanfrancisco.bsky.social @ucsfmedicine.bsky.social
August 14, 2025 at 8:55 PM
We look forward to seeing you at our 10 year anniversary symposium Tues., August 19th ""A Decade of Impact: Celebrating @atulbutte.bsky.social & BCHSI@10." Full agenda is up! calendar.ucsf.edu/event/a-deca... @ucsfhealth.bsky.social @ucsanfrancisco.bsky.social @ucsfmedicine.bsky.social
Reposted by Tomiko Oskotsky
"Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease" published in Nature @CommsBio @UCSF @torok_justin @PedroDoriaMaia @RajLab_UCSF @UCSFImaging et al www.nature.com/articles/s42...
Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease - Communications Biology
Meta-analysis of mouse tauopathy data sheds light on the cell types that may be involved in conferring selected regional vulnerability to pathology.
www.nature.com
March 10, 2025 at 7:41 PM
"Searching for the cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s disease" published in Nature @CommsBio @UCSF @torok_justin @PedroDoriaMaia @RajLab_UCSF @UCSFImaging et al www.nature.com/articles/s42...
Reposted by Tomiko Oskotsky
Our manuscript is now published in Nature Medicine! This paper is a great example of how we can use AI beyond just predicting outcomes. It was a joyride working with @jrinthenicu.bsky.social @nnimaa.bsky.social and all other co-authors. Keep an eye out for what's next!
An AI model defines a data-driven set of Total Parenteral Nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care, with validation from large external cohorts and a blinded reader study
www.nature.com/articles/s41...
www.nature.com/articles/s41...
AI-guided precision parenteral nutrition for neonatal intensive care units - Nature Medicine
An artificial intelligence model defines a data-driven set of total parenteral nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care and is able to adapt ...
www.nature.com
March 26, 2025 at 3:14 AM
Our manuscript is now published in Nature Medicine! This paper is a great example of how we can use AI beyond just predicting outcomes. It was a joyride working with @jrinthenicu.bsky.social @nnimaa.bsky.social and all other co-authors. Keep an eye out for what's next!
Reposted by Tomiko Oskotsky
Many to thank including @joephpc.bsky.social @jrinthenicu.bsky.social @stanfordanes.bsky.social @stanfordmedicine.bsky.social @dbdsstanford.bsky.social @ucsfchildrens.bsky.social @neomindai.bsky.social @lorenzorighetto.bsky.social @naturemedicine.bsky.social
March 25, 2025 at 5:03 PM
Reposted by Tomiko Oskotsky
In this particular example, the AI model analyzed ~10 years worth of parenteral nutrition data and learned how to do the entire process automatically, increasing safety and reducing cost. Stay tuned for more exciting news about our next steps!
March 25, 2025 at 5:03 PM
In this particular example, the AI model analyzed ~10 years worth of parenteral nutrition data and learned how to do the entire process automatically, increasing safety and reducing cost. Stay tuned for more exciting news about our next steps!
Reposted by Tomiko Oskotsky
Excited to share our new paper in @natmedicine.bsky.social! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-new...
March 25, 2025 at 5:03 PM
Excited to share our new paper in @natmedicine.bsky.social! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-new...
Reposted by Tomiko Oskotsky
Anticlustering for Sample Allocation To Minimize Batch Effects https://www.biorxiv.org/content/10.1101/2025.03.03.641320v1
March 11, 2025 at 10:48 AM
Anticlustering for Sample Allocation To Minimize Batch Effects https://www.biorxiv.org/content/10.1101/2025.03.03.641320v1