M.J.

Associate Prof @HarvardMed, MGH; Senior Lecturer @MITSloan. Systems scientist, developing simulation models for population-based health problems

[M.J. @msjalali]

1/ Introducing SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), a response to the @theNASEM's call to develop a system-based model of the #opioid crisis
Hot off the press in PNAS:
https://t.co/cjFTXFYtGu

[M.J. @msjalali]

A key point we emphasize: cuts to lifesaving services may not make deaths rise right away. They may instead slow the decline, making emerging harm harder to see.

[M.J. @msjalali]

The national opioid overdose death trend in the US turned downward, and there’s been plenty of speculation about why. Our new letter in @JAMAPsych uses our SOURCE model to explain the shift
https://t.co/doNTQwrCz0

[M.J. @msjalali]

The SOURCE model, published a few years ago in @pnas, had already projected a decline driven by two forces: a steadily shrinking population at risk and a plateau in overdose mortality as fentanyl’s rapid rise stabilized.
(Original SOURCE study: https://t.co/D8NS1otwf6)

[JAMA Psychiatry @JAMAPsych]

Recent US #opioid overdose deaths have declined 41%, mainly due to a shrinking at-risk population and plateauing mortality rates.

Continued surveillance is needed to predict and prevent harm.

https://t.co/esY2r73jIp

[M.J. @msjalali]

I recently launched the Best Paper in Health Data & Systems Science Award to recognize the strongest mentee paper from the past 2 years in our lab. Grateful for the energy and curiosity people bring to the lab! Learn more here: https://t.co/Q39P7kH2Ig

[M.J. @msjalali]

Using 1M+ forensic lab reports, our new study traces a decade of changes in substances found w fentanyl. We show xylazine’s sharp rise past heroin, identify when/where multi-drug combinations appeared and offer a granular view of how these patterns shifted https://t.co/4dZnPIO1Q8

[M.J. @msjalali]

New perspective: Hospitals face cyber threats shaped by human decisions under pressure, but collecting behavioral data is often limited. Synthetic behavioral data + simulation may offer a way to explore these patterns, though it needs careful evaluation: https://t.co/DCFsRWaUmg

[Fast Company @FastCompany]

Our research shows that while cutting NIH funding may appear to save money in the short term, it can trigger a chain of effects that increase long-term healthcare costs and slow the development of new treatments and public health solutions. https://t.co/jHbHKCflrh

[The Conversation U.S. @ConversationUS]

Proposed cuts to NIH funding would have ripple effects on research that could hamper the US for decades https://t.co/cfS73nzS8N

[M.J. @msjalali]

Delighted to welcome Dr. Songul Cinaroglu, Associate Professor of Health Care Management at Hacettepe University in Turkey, to our lab this year as a Fulbright Visiting Scholar.

[M.J. @msjalali]

The sad irony: funders want to include community members with no grant-writing background, but their applications are so demanding that even seasoned applicants struggle

[M.J. @msjalali]

What happens when research funding gets cut (not just a little, but a lot)? Try our simulator to find out.

Our model BRIDGE quantifies the impact of NIH budget cuts in the US, built on 47 datasets (1995-2024) and projecting effects over 25 years.

https://t.co/UIyZi3iSZG

[InsideHealthPolicy @InHealthPolicy]

Study: NIH Cuts Could Undermine Innovation, Raise Long-Term Costs https://t.co/1100U3ikJe

[John Chatham @JohnCChatham]

Potential effects of cuts to the @NIH
1) slow future innovations
2) shrink the future biomedical workforce
3) increased health care expenditures
4) missed opportunities for disease prevention, further increasing health care expenditures.
https://t.co/hl1GHalXeN

[M.J. @msjalali]

"Reducing NIH budget doesn’t just mean fewer grants; it means fewer trainees entering the pipeline, slower progress on treatments, more reliance on expensive late-stage care and weakened capacity for public health."
https://t.co/q1d2m3iCOI via @politico
https://t.co/PoIJdVEmhG

[M.J. @msjalali]

NIH spending battle’s ripple effect https://t.co/q1d2m3i4Za via @politico
Full text of study: https://t.co/PoIJdVDOs8

[Monica Gandhi MD, MPH @MonicaGandhi9]

This analysis in @statnews lays out how the proposed NIH budget cuts will actually waste more funds than they save & hurt science and medical progress
https://t.co/9vllDlvUUu

[Monica Gandhi MD, MPH @MonicaGandhi9]

NIH BUDGET CUTS: The proposed budget cuts by the White House to the NIH will have far reaching implications for public health- @NIHDirector_Jay working on budget negotiations with Congress this summer
https://t.co/HU1pDNLb63

[STAT @statnews]

Initial analyses of the Trump administration’s proposed NIH cuts neglect key aspects of their long-term economic and health impact, study says. https://t.co/eBfrUY8YOH

[Hearing Health Foundation @HearingHealthFn]

"Results of this qualitative analysis using systems modeling suggest that NIH budget reductions may have far-reaching implications for scientific progress, the biomedical innovation environment, and health care costs." https://t.co/UeIEZ39btv #research #science @JAMA_current