Interested in drug repurposing for Alzheimer's disease? Check our recent work on combining causal inference in medical records data and systems pharmacology for biomarker identification! Excited to release the results of our international collaboration: bit.ly/3jPqUK3

Agree, we explored this in critically ill patients. To ensure a risk of hidden hypoxemia of less than 10%, the Spo2 should be > 93% among Asian, 96% among Black, 92% among Hispanic, and 93% among White patients. jamanetwork.com/journals/jaman… Leonardo Celli Ian Wong @ duke Marie CHARPIGNON

New pre-print led by Dr. Yea-Hung Chen @ch272n with colleagues Dr. Ruijia Chen Marie CHARPIGNON @mathewkiang @aliciacita Maria Glymour Kirsten Bibbins-Domingo UCSF Epidemiology & Biostatistics examines risks of Covid-19 mortality by industry and occupation across the US. Thread 1/6. medrxiv.org/content/10.110…

A first illustration of our team's research on drug repurposing towards dementia onset using parallel EHR data and systems pharmacology analyses: tinyurl.com/42ywxyha More to come!

.Sudeshna Das, PhD et al. deploy a causal inference approach in emulated clinical trials using two EHR systems, to evaluate effects of metformin on dementia onset MIT Schwarzman College of Computing, Mass General Brigham, Harvard Medical School, Imperial College London, אוניברסיטת חיפה Nature Communications nature.com/articles/s4146…

How have US Twitter users responded to fluctuating mask recommendations from public health agencies during the pandemic? That is what our research team investigated, using interrupted time series and sentiment/emotion analyses. Check our recent JMIR study: lnkd.in/eTzMhCQh

Interested in data science for public health? Consider submitting a short or regular research paper to the KDD epiDAMIK workshop! We will accept your work until June 9: epidamik.github.io

We accept short and full-length papers, as well as work in progress. More details in epidamik.github.io/dates.html Thank you for your submissions! cc: Bijaya Adhikari Alexander Rodríguez Amulya Yadav Sen Pei Ajitesh Srivastava Marie CHARPIGNON B. Aditya Prakash

New study JAMA Neurology, we compared pandemic-era excess deaths associated with ADRD between year 1 and year 2 overall and by age, sex, race and ethnicity, and place of death. jamanetwork.com/journals/jaman….

Many thanks to my incredible team of co-authors for their contributions. Maria Glymour Andrew Stokes @ch272n @aliciacita @mathewkiang Marie CHARPIGNON Shelley DeVost @_jingxuanwang Kirsten Bibbins-Domingo Hélène Aschmann, Rafeya, Alyssa, and Erika

In Toronto on July 25-28 to present at the INFORMS Healthcare conference. Let me know if you are around, I would love to catch up in person! INFORMS

🚨To what extent do people coordinate coming into the office in a hybrid work setting? Manager presence accounts for ~30% increase in employee office attendance. Teammates' presence also explains larger attendance rate. Recent paper out at PNASNews. pnas.org/doi/10.1073/pn… 1/3

Registration is open for the 6th online Mendelian randomisation course, May 23-24, 2024: imperial.ac.uk/school-public-… James Yarmolinsky Ville Karhunen Verena Zuber Kostas Tsilidis Imperial School of Public Health

Conference on Remote Work Stanford CA, from October 9-11 Please submit papers on the measurement, cause and effect of hybrid and remote work. Conference will be in person with a live Zoom broadcast. Submission: forms.gle/1X22U224hEgCup… Call: wfhresearch.com/wp-content/upl…

Excited to share we are organizing another round of Epi meets Data workshop SIGKDD 2025 in Barcelona! Welcome to submit your works by May 28. 👉epidamik.github.io with Alexander Rodríguez Bijaya Adhikari Ajitesh Srivastava @mlcharpignon Kai Wang Serina Chang B. Aditya Prakash and Anil Vullikanti

📢📢📢 The application for this year's Rising Stars in EECS Workshop is now open!! The workshop will be hosted at MIT EECS on October 24-25, 2024, and is co-organized by Prof. Tess Smidt, Stefanie Mueller, Christina Delimitrou, and myself 💜 Apply here: risingstars-eecs.mit.edu

The epiDAMIK workshop at #KDD2024 is happening next Monday (08/26)! We have keynotes by Mauricio Santillana Mauricio Santillana and Yen-Chia Hsu Yen-Chia Hsu & multiple contributed talks. Program: epidamik.github.io/program.html #datascience #epidemiology #publichealth #AI #machinelearning

We're excited to have Mauricio Santillana as our opening keynote speaker. He will discuss how ML can leverage Internet-based information. 🏛️Mauricio recently testified before the US Congress, advocating for enhanced data collection to predict outbreaks: news.northeastern.edu/2023/03/27/pre…

Our second keynote speaker will be Yen-Chia Hsu, who will discuss empowering local communities through AI. He will highlight his efforts in public and environmental health, such as air pollution in Pittsburgh. We’re looking forward to Yen-Chia's talk! 🏘️💪

What an exciting week at @INFORMS2024! Interested in machine learning and causal inference for public health and biomedicine and their implementation in the real world? Join us in Summit 341 at 8am on Tuesday! With: Ananya Joshi, Andrew Perrault, Ben Marafino, and Yugang Jia!