Michelle Fang

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Michelle Fang

Michelle Fang

@MichelleFangCS

MD/MS (bioinformatics) student at @CleClinicLCM @CWRUSOM Interested in Computer Science & Surgery

Cleveland, Ohio Katılım Şubat 2022
177 Takip Edilen135 Takipçiler
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Ahmed Awad, MD
Ahmed Awad, MD@ahmedawadmd·
We hope you enjoy reading our manuscript - a collaborative effort from all specialties involved in the care of CABG patients.
The Heart Surgery Forum@hsfeditor

🫀The latest work from @ClevelandClinic by first author Dr. Ahmed K. Awad and his team is now featured in HSF! Link👉imrpress.com/journal/HSF/29… 💡Can #CABG Postoperative #Care #ERAS #Cardiac #CriticalCare #Vasoplegia #Mechanical CirculatorySupport optimize recovery with #AI? #Grok

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Cleveland Clinic CTS Residency
The Svensson-Gillinov Scholarship in Cardiothoracic Surgery is now OPEN. Apply before March 1st, and don't forget you MUST also apply on VSLO. 2 outstanding students will be selected & notified by March 31st and announced at @AATSHQ 2026. Apply here: forms.gle/AVJvM7q4F58BHA…
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Ahmed Awad, MD
Ahmed Awad, MD@ahmedawadmd·
Redo-commando after commando success breakdown🎯 : ▶️Preserve annular integrity during explant ▶️Complete trigonal debridement ▶️Careful valve sizing = no suture line tension ▶️ 💎 pericardial patch ▶️Pledget those corners = no post-op bleeding @CleClinicHVTI @NikaSamadzadeh
Haytham Elgharably, MD, PhD, FACS@HElgharablyMD

Pitfalls & technical tips for Redo #Commando with mechanical valves, after taking down previous biological valves #Commando @ ctsnet.org/node/57365. #Vimeo vimeo.com/1140090604/73d…

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Ed Livingston
Ed Livingston@ehlJAMA·
This is a big deal. Frequentist statistics have done a lot of damage to medical science. People rely on P values without really understanding what they mean. Many faulty conclusions have been made because of them. Once you understand Bayes methods, you’ll never rely on frequent tests again. Bayes methods are completely aligned with clinical thinking and should be the standard methodology used for statistical analysis in clinical research.
Frank Harrell@f2harrell

This is a big step forward in improving the efficiency of clinical trials of drugs and biologics, and a big day for @US_FDA which I've been dreaming of for decades : fda.gov/news-events/pr… #bayes #RCT #clinicaltrial #pharma

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Michelle Fang
Michelle Fang@MichelleFangCS·
We just published a model that does automated data extraction from Cardiac MRI reports. Let AI help make chart reviewing easier and the data collection process faster. Thank you Drs. @DebbieKwonMD & Chen for your mentorship on this project! doi.org/10.1016/j.jocm…
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Eran Maina
Eran Maina@EranMaina·
Had a great #SUO2025 meeting in AZ! Parenchymal volume analysis + degree of contrast enhancement on CT provides the most accurate prediction of new-baseline GFR after nephroureterectomy. Such predictive accuracy may help guide timing of systemic chemotherapy in UTUC patients
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Rami Alaraj
Rami Alaraj@Alaraj_Rami1·
Amazing performance by our CAD team at the 11th international coronary congress @ISCAScoronary in NYC! Happy to have presented one of our two posters alongside the amazing @ahmedawadmd! Proud of the team and the work we’re doing!
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Sameed Khan
Sameed Khan@sameedmed·
Also honored to show work w/ longtime mentors and colleagues Chad Klochko MD and Steve Soliman DO on novel work using radiomics on muscle ultrasound to predict insulin resistance! We believe that this could expand to less invasive and easier-to-access screening for metabolic disorders (instead of a needle now you get POCUS) We show that you can take a simple logistic regression classifier, train it on radiomics from deltoid US in a messy retrospective dataset to predict T2DM and that same model will predict insulin resistance very well in patients from a completely different institution! #RSNA25
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Michelle Fang
Michelle Fang@MichelleFangCS·
Computer programming can be so helpful for research. My 10th semester teaching a programming class, with the Medical Research Programming elective being offered for the 3rd time at @CWRUSOM Thank you to all my students, TAs, and faculty (Drs. Nowacki & @Neil_Mehta) #MedEd
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