Sarah Urbut ✓

@tigerstatdoc

Cardiologist and scientist @MGHHearthealth @harvardmed fascinated by statistics, genomics @broadinstitute, and exploring the world on two wheels.

1 111Followers

426Following

149Posts total

73.6KViews on collected posts

Son gönderiler

Sarah Urbut ✓@tigerstatdoc15 Jul

@tigerstatdoc Congrats to genius Dr. Urbut!! 🤩🤩 665 views · 2 likes · 0 reposts · 1 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

In summary, we have a model that discovers and predicts: 151 genome-wide significant loci, biological subtypes inside single diagnoses, and 348-disease that outperforms existing clinical tools. Years in the making, SO thankful for an incredible team!!! Paper, code, interactive ht

1.2K views · 24 likes · 4 reposts · 1 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

Two things evolve smoothly in time: the signatures themselves (φ), and each person's loading on them (λ) — anchored in germline genetics, so the model builds from and reveals new biology, rather than black box artifacts. Then Bayesian updating does the work: every new diagnosis

1.2K views · 10 likes · 0 reposts · 1 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

But patients don't sit still. How much a signature matters to you depends on when you ask the question. Three patients, three trajectories, distinct from the next patient who shares the same diagnosis. Same phenotype, different biology. https://t.co/AAEnEsHana

1.1K views · 9 likes · 0 reposts · 1 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

At its core are signatures: latent patterns of how disease co-occur and unfold over time, learned from data with no supervision. The model discovers, for instance, an ischemic cardiovascular signature which appropriately describing the sequence of events from hypercholesterolemia

1.3K views · 14 likes · 0 reposts · 1 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

One of my first consults as a cardiology fellow: a 34-year-old, textbook MI. A day earlier, no risk model would have flagged him for prevention. That paradox has driven my work ever since — our models miss how disease actually evolves, dynamically, on top of a genetic background.

66.3K views · 239 likes · 71 reposts · 14 replies Open on X →

Sarah Urbut ✓@tigerstatdoc15 Jul

Risk isn't a number you're born with or a snapshot at a clinic visit. It lives in three dimensions at once — time, disease, and the individual. As a patient walks through life, her journey can take many forms. So we built Aladynoulli to model these patterns dynamically. https://

1.9K views · 18 likes · 0 reposts · 1 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 7 gönderi, under 10K takipçi aralığıyla yan yana. hem erişimde hem etkileşimde benzerlerinin altında.

Medyan görüntülenme1 187bu hesap4 175under 10K için medyan

Erişim, %106.84%bu hesap250.82%under 10K için medyan

Etkileşim, %0.94%bu hesap1.41%under 10K için medyan

Ölçüt	Bu hesap	under 10K için medyan	Oran
Gönderi başına medyan görüntülenme	1 187	4 175	0.28×
Erişim (görüntülenme ÷ takipçi)	106.84%	2.5× audience	0.43×
Etkileşim oranı	0.94%	1.41%	0.66×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.9K15 Jul

66.3K

1.3K

1.1K

1.2K

665

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.99%15 Jul

0.50%

1.19%

0.94%

0.93%

2.50%

0.45%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes59.3%316 in total

Reposts14.1%75 in total

Replies3.8%20 in total

Quotes1.9%10 in total

Bookmarks21.0%112 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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