Shino Kany (@shinokany) 's Twitter Profile
Shino Kany

@shinokany

Cardiology, EP, AI and Genetics | Cardiology @UKEHamburg | @broadinstitute of MIT and Harvard | @mghcvrc | @LSEHealthPolicy ‘23

ID: 1178324272382726145

calendar_today29-09-2019 15:03:20

912 Tweet

721 Followers

538 Following

Shaan Khurshid (@shaan_khurshid) 's Twitter Profile Photo

Is slow heart rate or conduction block heritable? Check out our new meta-analysis Nature Genetics incl common (~1.3m individuals) + rare (~400k) variants for bradyarrhythmias and conduction dz. Co-led w/ Lu-Chen Weng Joel Rämö Sean Jurgens Broad Institute ! nature.com/articles/s4158…

Is slow heart rate or conduction block heritable?

Check out our new meta-analysis <a href="/NatureGenet/">Nature Genetics</a> incl common (~1.3m individuals) + rare (~400k) variants for bradyarrhythmias and conduction dz. Co-led w/ <a href="/LuChenWeng/">Lu-Chen Weng</a> <a href="/joeltramo/">Joel Rämö</a> <a href="/JurgensSean/">Sean Jurgens</a> <a href="/broadinstitute/">Broad Institute</a> !

nature.com/articles/s4158…
Shaan Khurshid (@shaan_khurshid) 's Twitter Profile Photo

Just how many diseases can you identify with a good old 12-lead #ECG? NEW npj Digital Medicine, co-led w/ Sam Freesun Friedman, RVpacing & xwang, we use an autoencoder to map ECG to phenome, finding associations btwn ECG & >600 conditions Broad Institute ML4H Mass General Heart LINK⬇️

Just how many diseases can you identify with a good old 12-lead #ECG?

NEW <a href="/npjDigitalMed/">npj Digital Medicine</a>, co-led w/ <a href="/lucidtronix/">Sam Freesun Friedman</a>, <a href="/RVpacing/">RVpacing</a> &amp; <a href="/xwang/">xwang</a>, we use an autoencoder to map ECG to phenome, finding associations btwn ECG &amp; &gt;600 conditions <a href="/broadinstitute/">Broad Institute</a> <a href="/broad_ml4h/">ML4H</a> <a href="/MGHHeartHealth/">Mass General Heart</a> 

LINK⬇️
Sam Freesun Friedman (@lucidtronix) 's Twitter Profile Photo

What does your electric heart tell you about the entire human disease landscape? Our ECG PheWAS was just published in npj Digital Medicine! A phenome wide association study of a deep learned latent space from 100K+ ECGs meta analyzed in 3 external cohorts...

What does your electric heart tell you about the entire human disease landscape? Our ECG PheWAS was just published in <a href="/npjDigitalMed/">npj Digital Medicine</a>!  A phenome wide association study of a deep learned latent space from 100K+ ECGs meta analyzed in 3 external cohorts...
Satoshi Koyama (@skoyamamd) 's Twitter Profile Photo

We are excited to share our latest work, "Genetic Predisposition to Low-Density Lipoprotein Cholesterol and Incident Type 2 Diabetes," now published in JAMA Cardiology, led by the brilliant undergrad Akshaya Ravi! 🎉 jamanetwork.com/journals/jamac…

We are excited to share our latest work, "Genetic Predisposition to Low-Density Lipoprotein Cholesterol and Incident Type 2 Diabetes," now published in JAMA Cardiology, led by the brilliant undergrad <a href="/akshayaravi22/">Akshaya Ravi</a>! 🎉
jamanetwork.com/journals/jamac…
Shaan Khurshid (@shaan_khurshid) 's Twitter Profile Photo

Excited to share more great work pioneered by Shino Kany UK Biobank now out in JACC Journals #Advances ! Guideline adherent activity, whether concentrated (“weekend warrior”) or more regular, is assoc w/ ⬇️ ⬇️ CMR-based visceral fat, a powerful marker of cardiometabolic health

Sam Freesun Friedman (@lucidtronix) 's Twitter Profile Photo

Is the ECG secretly a sphygmomanometer? We trained a neural net to predict hypertension from ECGs and found it associated with many cardiovascular outcomes.

Is the ECG secretly a sphygmomanometer? We trained a neural net to predict hypertension from ECGs and found  it associated with many cardiovascular outcomes.
Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

One of the most impressive applications of AI in medicine so far, has been its ability to "see" features in diagnostic modalities that we missed for decades. Example: AI trained on ECG —used >100 years— captures who has hypertension and a score from this model outperforms blood

One of the most impressive applications of AI in medicine so far, has been its ability to "see" features in diagnostic modalities that we missed for decades. 

Example: AI trained on ECG —used &gt;100 years— captures who has hypertension and a score from this model outperforms blood
MAESTRIA EU H2020 project (@h2020maestria) 's Twitter Profile Photo

Weekend warriors vs. regular exercisers: Both patterns of physical activity linked to lower visceral, epi and pericardial fat. No real difference if total activity is the same. So yes — cramming it into the weekend still counts! sciencedirect.com/science/articl…

Weekend warriors vs. regular exercisers:
Both patterns of physical activity linked to lower visceral, epi and pericardial fat. No real difference if total activity is the same.
So yes — cramming it into the weekend still counts!
sciencedirect.com/science/articl…
Jan Rieß (@jlriess) 's Twitter Profile Photo

High prevalence of HFpEF in patients referred for AF ablation - significant variation depending on the diagnostic tool used. --> Screen for HF in AF-patients and consider initiating additional HF therapy. authors.elsevier.com/a/1l5Z-7tD%7Ea… #JACCJournals #HFpEFinAF

High prevalence of HFpEF in patients referred for AF ablation - significant variation depending on the diagnostic tool used. --&gt; Screen for HF in AF-patients and consider initiating additional HF therapy. 
authors.elsevier.com/a/1l5Z-7tD%7Ea…
#JACCJournals #HFpEFinAF
Andreas Metzner (@andreasmetzner7) 's Twitter Profile Photo

👉⏱Der Countdown läuft! In weniger als 4 Wochen ist Anpfiff zu den #HamburgBeats 2025! Sichern Sie sich Ihren Platz, erleben Sie modernste Rhythmologie hautnah! 14. Juni, Empire Riverside/Hamburg. Wir freuen uns auf Sie!💪🫀 Andreas Rillig Christian Sohns Daniel Steven AGEP