Peter Ojo

Seeking MSc/PhD opportunities in Biomedical Informatics || Mobile Developer || Co-Organizer @FlutterOgbomosho || Class of 2023 Millennium Fellow @mcnpartners

[Peter Ojo @_peterojo]

I’m bagging straight A’s this semester 👍🏾

[Peter Ojo @_peterojo]

@thatspace_boy Congratulations, Dolapo 🎉🎉

[🥷 @_iamhabeeb]

NO BAD DAYS IN AUGUSTTTTTTT

[Pain.𝕏 @GBarca_]

The first player in history to get trolled for not winning two World Cups in a row.

Yes, that’s how great he is.

[rosie @therosieum]

https://t.co/F2G1usjT2E

[Arise_ jnr @Caapella1]

Messi life is a perfect example of how people can dislike you because you are the best at what you do .

[DaSuKi @chukaobi]

This is World Cup discussions big man.
When we’re discussing friendly tournaments we’ll call him.

[Talented🏀🏀 🇳🇬🇿🇦 @TalentedFBG]

Messi 1 World Cup
Yamal 1 World Cup

Guess who’s still having zero😂😂😂😂😂

[𝐌𝐀𝐋𝐈𝐊 @TheMahleek]

Lionel Messi will sleep tonight a World Cup winner

Lamine Yamal will sleep tonight a World Cup winner

Cristiano Ronaldo will just sleep.

[Neal 🇦🇺 @NealGardner_]

ARGENTINA HAVE PULLED IT OFF AGAIN!!!!!!!!!!!!!!!!!

What can I even say about this side??? In awe, lost for words, all the superlatives and more. This side simply DOES NOT KNOW HOW TO LOSE.

It’s utterly, utterly ridiculous at this point.

[Peter Ojo @_peterojo]

@iamtheoart 😭😭😂😂😂😂

[Troll Football @TrollFootball]

From all of Africa: Thank you Canada

[Fabrizio Romano @FabrizioRomano]

🌎🇿🇦 OFFICIAL: South Africa are OUT of 2026 World Cup. ❌

[👑S.A.L.A.K.O🕊 @UnkleAyo]

You've been insulting olodos on Twitter since yesterday but you support Ronaldo.

Lmaooo. Brother, please.

[Zain Khalpey, MD, PhD, FACS @ZainKhalpey]

AI is transforming cardiovascular imaging, but performance alone isn’t enough.

Explainability, fairness, accountability, and real world validation will determine whether these tools improve patient care at scale.

The future of AI in medicine depends on building systems clinicians can trust.

https://t.co/NyuR6bSf42

#MedTwitter #AIinHealthcare #Cardiology #MedicalAI

[Eric Topol @EricTopol]

Our new piece in @TheLancet on the potential of AI agents in medicine @james_y_zou
https://t.co/AWBTcDdKSO

[Marinka Zitnik @marinkazitnik]

Scaling medical AI to infinitely many clinical contexts @NatureMedicine

https://t.co/hGxWPEeYqN

Medical AI does not fail because it lacks scale. It fails because it lacks context @_michellemli

Models often produce plausible outputs, but fail when the context shifts across specialties, populations, geographies, and care constraints

Early approaches to context switching, such as prompt engineering, fine-tuning, in-context learning, and re-training, produce great examples of success. But scaling medical AI requires a shift toward context switching at inference time

Context switching means models adjust how they reason based on what matters in the moment: which data are available, who the user is, where care is delivered, and what decisions are feasible

Many thanks to all collaborators @_michellemli, Ben Y. Reis, @AdamRodmanMD, Tianxi Cai, Noa Dagan, @RanBalicer, Joseph Loscalzo, @zakkohane

@harvardmed @HarvardDBMI @KempnerInst @harvard_data @broadinstitute @ClalitHealth @BrighamWomens @BostonChildrens @BIDMC_Medicine @HarvardChanSPH

[Network for Exposomics in the United States @nexusexposomics]

Published in Nature Medicine!

NEXUS MPI Chirag Patel, Harvard Medical School published “An atlas of exposome-phenome associations in health and disease risk” alongside John  Ioannidis, Stanford University and Arjun Manrai, Harvard Medical School

🔗https://t.co/dFMySlL0YG

[Arjun (Raj) Manrai @arjunmanrai]

🧵1/ Our new study on AI and physician reasoning just came out in @ScienceMagazine. As co-senior author, I'm excited about our findings, and I do think AI will reshape medicine. But after seeing some of the discussions, I'm also worried about how our findings may be misinterpreted.