
MD/MS (bioinformatics) student at @CleClinicLCM @CWRUSOM Interested in Computer Science & Surgery
Cleveland, Ohio
Joined February 2022
- Tweets52
- Following174
- Followers133
- Likes331
Michelle Fang retweeted
Grateful to be a part of this milestone. Excited and encouraged for the future of cardiac surgery in Africa, for Africa🌍
STS was proud to participate in the inaugural African Cardiothoracic Surgery Conference, bringing together regional and international leaders, trainees, and allied health professionals to advance cardiothoracic care through education, collaboration, and innovation. Thank you to all who made this landmark event a success. 🌍
Michelle Fang retweeted
Honored to present Dr. Ozaki’s outcomes of Ozaki procedure using bovine pericardium @AATSHQ
For patients with diseased pericardium or those undergoing MIS, midterm durability is similar to the Ozaki procedure with autologous pericardium or bioprosthetic AVR! @ShinyaUnai @MdGosta
Michelle Fang retweeted
Outstanding talk by @mahmoudshneikat on coronary aneurysms - great discussion and insights on patient profiles, disease progression, and the timing and approach to intervention. Stay tuned for our manuscript on the largest coronary aneurysm cohort.
I am Presenting!
Join me in Chicago, Sunday, May 3, 2026 (8:30-8:45 AM) in Room E351 during the "Coronary Outcomes Mythbusters" session as I present our work: "Coronary Artery Aneurysms: Evolving Trends in Surgical Management"
@FaisalBakaeen
@CleClinicHVTI
@AATSHQ
Presenting now and newly published in #JTCVS: Ostial Occlusion of All Epicardial Coronary Arteries: Living off Bypass Grafts. @FaisalBakaeen, @ahmedawadmd, Eugene H. Blackstone, et. Al. Read more: doi.org/10.1016/j.jtcvs.2026…
Michelle Fang retweeted
Robotic cardiothoracic surgery is expanding fast — but what does mastery require beyond technical familiarity?
Join @CleClinicHVTI July 17 for a CME course exploring operative strategy, decision-making & program-building.
@LarsSvenssonMD @CCF_CTSRes
consultqd.clevelandclinic.or…
Michelle Fang retweeted
Over the moon to be heading west to Seattle to join the @UWCTSurgRes family!
Grateful to my mentors @karamlou and @Dr_HaniNajm for fostering my passion for cardiothoracic surgery and for the privilege of caring for these patients.
Michelle Fang retweeted
So incredibly excited to have matched into CCF neurosurgery and continue working with my amazing network of mentors. #match2026 #neurosurgery
We’re excited to welcome our incoming #neurosurgery resident class from #Match2026. Welcome to @ClevelandClinic!
Michelle Fang retweeted
YOUR BOY IS GOING TO BE A YALE TRAINED CARDIOTHORACIC SURGEON!!!!
Congratulations & welcome!!! Excited to have you join us this summer 👏🥳🎉 @yalectsurgery @YaleSurgery @YaleCardiacSurg @YaleThoracic
Michelle Fang retweeted
We hope you enjoy reading our manuscript - a collaborative effort from all specialties involved in the care of CABG patients.
🫀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
Michelle Fang retweeted
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/AVJvM7q4F58BHAGn6
Michelle Fang retweeted
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
Pitfalls & technical tips for Redo #Commando with mechanical valves, after taking down previous biological valves #Commando @ ctsnet.org/node/57365. #Vimeo vimeo.com/1140090604/73d55a9…
Michelle Fang retweeted
“Always be prepared for invasion.” In native aortic valve endocarditis, invasive disease was present in 40% yet preop TEE/CT missed it in >50%. Allografts showed superior freedom from reop at 5y vs with AVR+patch.
@HElgharablyMD
@EricRoselliMD
annalsthoracicsurgery.org/ar…
Michelle Fang retweeted
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.
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/press-an… #bayes #RCT #clinicaltrial #pharma
Michelle Fang retweeted
All smiles from @williamcfrankel as he shares one of his complex mitral valve repairs at #Mitral2025 @AATSHQ
Michelle Fang retweeted
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
Michelle Fang retweeted
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!
Michelle Fang retweeted
ICC 2025 was amazing!! Gave my oral podium and e-poster presentations, get great feedback and insightful comments, cheered on our great team @Alaraj_Rami1 and met leading coronary experts!! #Cardiacsurgery
#CABG #ISCAS #ICC2025
Michelle Fang retweeted
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




















































