Please join me in welcoming our newest faculty members, Dr. Marko Skrtic, to the Division of Nephrology (left) and Dr. Lourdes Ramírez Hobak, to the Division of Dermatology (right)! @QueensuDOM

It's a great program and I make baked goods for people at the end. Totally worth it! Ask around:)

Please join me in welcoming our newest faculty member, Dr. Durjoy Lahiri, to the Division of Neurology! @QueensuDOM

Sadly, I had to miss the event, but very happy to be sent these photos of @bob_connelly @MCSamaan1 joining the rest of @QueensPeds in recognizing @anupamvsehgal and Dr F. Khurshid for their incredible work in interim department leadership roles over the last year!

Last Call Ball ⁦@QueensuDOM⁩ -an amazing group of medical residents (led by Dr Stephen Gauthier) are providing awesome care, teaching & doing research ⁦@KingstonHSC⁩ ⁦@queensu⁩ Huge thanks to Genevieve Bureau & her QIM team & Drs Sidhu& Awad -seen with Dr Kain

It is truly inspiring to read the nominations for the Exceptional Healer Award at KHSC. Huge congratulations & thanks to our 2024 winners, Dr. Garth Smith (Pediatrician) and Ms. Lisa Thibeault RN (Bleeding Disorders Clinic) from Jason Hann & me - you are amazing role models !!

Dr. @AnnetteHay1 imagines a world where cancer can be cured by a person’s own immune system. Her work with CAR T-cell therapy explores a revolutionary way of treating cancer.

Found more Canadians @yourpalpal @RealEquanimity @AMIAinformatics #CIC24 presenting their great work in informatics.

Proud of @yourpalpal presenting @AMIAinformatics #CIC24 on #clinicalinformatics initiative to reduce specialist wait times in Canada @QueensuDOM @QueensUHealth @KingstonHSC

Representing the Canadians😉 @AMIAinformatics #CIC24 with some of @CAMHnews clinical informatics initiatives @lobri888 @GStrudRN @saralling @UzmaHaider6 @bijouxo23 @NoelleCoombe @SanjSockalingam

In this ‘Grand Rounds in Methodology’, @AmolAVerma & colleagues present key considerations for deciding whether a clinical problem might benefit from a Machine Learning solution & evaluating whether a solution is ready for deployment.

Congratulations Dr. Shamseddin on your Distinguished Service Award at @CSNSCN AGM for your outstanding contributions to Queen’s Nephrology!! 🥳 @QueensuDOM

Congratulations to Dr. Kerstin de Wit, recipient of the 2024 CIHR-ICRH/CAEP Mid-Career Lecturer Award in Emergency Medicine! 👏 Thank you to our award partner @CAEP_Docs for their continued support. 🔍 Details: cihr-irsc.gc.ca/e/51807.html

✨Our next inspirational spotlight is shining on @AnnetteHay1! Discover what sparked her interest in medicine and her advice for other women pursing a career in medicine here ➡️ tinyurl.com/444ayfmz

Join us in celebrating #InternationalWomensDay by honouring the incredible women in the DOM. Second spotlight: Dr. Heather Johnson. Read more about Dr. Johnson on our website: deptmed.queensu.ca/news/feat… Stay tuned for more inspiring stories! #IWD2024 #InspireInclusion

One of the biggest challenges in #AI and #healthcare is how to collaboratively train large AI models from multiple hospitals without compromising patient privacy? Thrilled to introduce our new paper, DeCaPH, which is now officially published in @TheLancet @eBioMedicine! **Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data** What does DeCaPH do? 🔒 Privacy-preserving collaborative ML: Train together without sharing sensitive data. 🌐 Decentralization: No central server is needed, reducing privacy risks. 🚫 Robust against privacy attacks: Designed for healthcare's unique privacy needs. **Highlights** --- Tailored for healthcare setting: Designed specifically for hospitals, DeCaPH caters to their unique threat models and privacy requirements, achieving the optimal utility-privacy trade-off. --- Potential Real-world Impact: We conducted comprehensive evaluations on three cross-silo datasets for three distinct tasks: clinical outcome prediction from electronic health records, cell classification with single-cell RNA transcriptomics, and pathology identification using chest radiology images. --- Robust to privacy attacks: Our evaluations show that models trained with DeCaPH are more resilient against privacy attacks than those without privacy protection. Kudos to Emmy Fang (@EmmyFangCY), who is an amazing PhD student cosupervised by me and @NicolasPapernot , for her incredible leadership in this project! Read More: Paper: sciencedirect.com/science/ar… arXiv: arxiv.org/abs/2402.00205 Code: github.com/cleverhans-lab/De… @VectorInst @UofTCompSci @UofT_LMP @UHN @bradwouters @drbarryrubin

I'm humbled by the recognition & opportunity, provided by Royal College of Canada. Its rewarding to use this grant on curriculum development in my home country Sri Lanka through collaboration with my new home, Canada. @Royal_College @queensu @ColomboUni

Congrats @tonybai16 !!👏👏👏

⁦@DrMandipRai⁩ telling us ⁦@QueensuDOM⁩ grand rounds how EUS is expanding well beyond the pancreas! Great job!

Drs. Chris Booth & Jean Mathews talk to @cbcallinaday about their new palliative care program in Kingston that aims to combat patient isolation through volunteer support. Based on a model from @palliumindia, the project partners w/ @CompassionateCK: bit.ly/4aFL6Yd