Jake Desman, MD

ISMMS Medical Student | ML and Biomedical Data Science | BS + MSE Alum @JohnsHopkins @JHUBME

[Johns Hopkins Radiology @Hopkins_Rad]

Happy #MatchDay! We are excited to welcome the Class of 2031/2032 to the Johns Hopkins Radiology family! #Match2026 #radresidents #radres #perfectmatch #johnshopkins

[TheAIMSLab@MountSinai @TheAIMSLab_MSSM]

The team at AIMS Lab Mount Sinai has developed a cool #ReinforcementLearning model to optimize safer and precise blood-sugar management dynamically @JacobDesman @ZhangWeiHong9 #MoeinSabounchi
@ansakhuja @girish_nadkarni
https://t.co/R7RgoVw6R2

[Jake Desman, MD @JacobDesman]

Thrilled to share our latest work published in @npjDigitalMed: "A distributional reinforcement learning model for optimal glucose control after cardiac surgery".

Huge thank you to all our amazing collaborators!
@ansakhuja
@girish_nadkarni

Read more: https://t.co/stKCUl7UiZ

[Icahn School of Medicine at Mount Sinai @IcahnMountSinai]

Mount Sinai researchers, in collaboration with the Windreich Department of Artificial Intelligence and Human Health, have developed an AI tool that supports safer, more precise blood sugar management after heart surgery.

The model, called GLUCOSE, uses reinforcement learning to recommend real-time insulin doses tailored to ICU patients. In a recent study published in NPJ Digital Medicine, it matched or outperformed experienced clinicians—using only current patient data.

Developed by experts at the Icahn School of Medicine at Mount Sinai, including the Institute for Critical Care Medicine and the Hasso Plattner Institute for Digital Health, GLUCOSE is designed to assist—not replace—physicians, helping reduce complications and improve patient outcomes.

Future plans include integration into EHR systems, clinical trials, and broader hospital applications.

Read more here: https://t.co/b1SgqhGzDM

[Aditya C. Shekhar @dj_deets]

We looked at four Friday the 13th's between 2022 and 2024 and found they were not associated with an increase in EMS calls or cardiac arrests – myth busted!

https://t.co/okKS2A3gAR

@joshkimbre @JacobStebel @_AlexZhou @JacobDesman @eeabbs

[npj Digital Medicine @npjDigitalMed]

At npj Digital Medicine, we recognize the importance of educating the clinical community about new concepts. If you're a clinician looking for a good primer on reinforcement learning in medicine, check out this review article from
@TheAIMSLab_MSSM
@mountsinaicbipm
! https://t.co/Bfb2iMtKuf Congratulations to authors
@pushkala2307, @jacobdesman, Moein Sabounchi, @girish_nadkarni, @ansakhuja

[Ankit Sakhuja 🇺🇸 @ansakhuja]

Excited to share our review article which provides a step-by-step, non-technical overview of reinforcement learning tailored specifically for clinicians - https://t.co/O7IiOgJhgR @girish_nadkarni @pushkala2307 @JacobDesman @IcahnMountSinai #AI #RL

[Jake Desman, MD @JacobDesman]

Incredibly proud of the team at PneuTech for making it to the top 20!

[Technical.ly Baltimore @TechnicallyBMR]

RealLIST Startups 2024: Discover the 20 Baltimore startups shaping tomorrow's entrepreneurial landscape https://t.co/6NFZIlE9lc including @Coordleapp, @novvacup and @storytimeaiapp.

[Icahn School of Medicine at Mount Sinai @IcahnMountSinai]

Congratulations to the recipients of the BioDesign and THRIVE Fellowship Innovation Award! Your pioneering contributions are shaping the trajectory of #neurosurgery and #healthcare, leaving a lasting impact on the future.

@MountSinaiNeuro

[Jake Desman, MD @JacobDesman]

Join us for the final session of the AI in Medicine Speaker Series tonight @ 5pm!

@girish_nadkarni will give a lecture titled: AI in Medicine: The Good, The Bad, and the Ugly.

Last minute RSVPs? More info here 👉
https://t.co/lCheOBlrvb

[Jake Desman, MD @JacobDesman]

Join us tomorrow, Wednesday 3/15 @ 5pm EST for the third talk of the AI in Medicine Speaker Series!

We are excited to have Dr. Jianying Hu discussing AI for accelerated discovery in healthcare and life sciences.

Haven't RSVPed yet? More info here 👉
https://t.co/O1gnRg9M6Z

[Jake Desman, MD @JacobDesman]

Medical students! Interested in AI?

Join us tomorrow, Tuesday 3/7 @ 5pm EST for the second talk of the AI in Medicine Speaker Series!

Our speaker will be Robbie Freeman on leveraging ML/AI to improve quality and safety.

More info & RSVP 👉
https://t.co/ZekdtWMShu

[Katie Link @katieelink]

Are you a medical student interested in AI?

Join the AI in Medicine Speaker Series, hosted by Yash Lahoti and @JacobDesman! No AI experience necessary.

First speaker will be Dr. Hayit Greenspan @BMEIIsinai, today at 5 pm EST

More info & RSVP 👉 https://t.co/KhKgZ7jH0f