Matthew Sperrin

Senior Lecturer in Health Data Science at University of Manchester. Interested in statistical methods and models for prediction and decision support. He/him.

[Christabel Pankhurst Institute UoM @UoMPankhurst]

🚀Join us on 5th Dec at Causality in Healthcare hosted by the University of Manchester! Talks, lightning sessions, & a networking lunch to connect with researchers.

Don’t miss it!

🔗Causality in Healthcare at Manchester Tickets, Thu, Dec 5, 2024 at 10:00 AM | Eventbrite

[Richard Riley (R²) @Richard_D_Riley]

📢MEMTAB 2025 pre-conference courses

Just £50 when registering for conference!
2 options:

- An Introduction to Clinical Prediction Models and Sample Size Calculations for Model Development & Evaluation
- Systematic Reviews of Prognosis Studies

More 👇
https://t.co/5tVdSllSNL

[Chaihub @chaihubuk]

Excited to share a new PhD project within the CHAI ecosystem! Explore the critical intersection of randomised controlled trials and real-world evidence to optimise therapy in radiotherapy. Apply via the MRC DTP PhD Programme portal by Nov 15, 2024: https://t.co/nyRfBLQSIZ

[Richard Riley (R²) @Richard_D_Riley]

*** MEMTAB 2025 ***
Interested in models, tests and biomarkers for prediction, diagnosis and monitoring in healthcare?

Please join us & share your methodology work!
29 April - 1st May 2025, Birmingham UK

Abstract submission & registration NOW OPEN 😀
https://t.co/PkcCHmWBks

[Wouter van Amsterdam @WvanAmsterdam]

new PhD position with @MaartenvSmeden and me!

are you:

- interested in the intersection of "science" and deep learning?
- keen to work with electrocardiography (ECG) data
- eager to learn and be part of a vibrant data science team @UMCUtrecht?

see https://t.co/Ysrc9TwovF

[Matthew Sperrin @MatthewSperrin]

Funded PhD opportunity with me, Eliana Vasquez-Osorio and Gareth Price at Manchester: Using causal inference to Optimise the Therapeutic Ratio in Radiotherapy https://t.co/uv1fdU5VRj

[Chaihub @chaihubuk]

Don't miss this month's Health Equity Series with CHAI Hub's Dr. Nathan Blake on "Explainable AI for Clinical Applications." Discover the importance of transparent AI in healthcare: https://t.co/bhjVwoye0D
#healthcare #AIforGood #CHAIHub #AIinHealthcare @turinginst @ucl @DS_x_HE

[Matthew Sperrin @MatthewSperrin]

Job alert: Medical Stats PDRA at Manchester, with expertise in prediction modelling and/or causal inference and/or fairness. Deadline 17 Oct, 2y post! More info https://t.co/l4Rac1fLy2

[Corinne Faivre-Finn @finn_corinne]

Congratulations @KuanLiao2 on the award of a PhD from @UoMNews 👏👏
Outstanding research on evaluating the predictive value of patient-reported outcomes in lung cancer using real-world data from @TheChristieNHS @MCRCnews
Well done! @yorke_janelle @MatthewSperrin

[David A Jenkins @David_A_Jenkins]

Great talk from Haya Elayan from @OfficialUoM discussing accounting for case-mix shift when developing a clinical prediction model at #iscb45. Her first piece of work from her PhD, and it won a student award!

[Chaihub @chaihubuk]

Are you are post-doc looking to collaborate with an amazing group of AI researchers, to help develop innovative Healthcare AI?
The CHAI Hub is currently recruiting for two post-doc research fellows - apply now!
Exeter - https://t.co/hXIztjY9w6
UCL - https://t.co/m1qdoOerMg

[Chaihub @chaihubuk]

We launched the CHAI AI Hub at our showcase event last month. Thanks to the amazing stakeholders and academics who joined us. We'll reach out to you all soon to continue co-creating our research. Keen to join the CHAI ecosystem? Get in touch! https://t.co/AwRa0CcVpA

[Matthew Sperrin @MatthewSperrin]

Investigate and optimise the safety of discontinuing valproate in young men and women with epilepsy - using methods at the intersection of causal inference and prediction

[Matthew Sperrin @MatthewSperrin]

Late-breaking PhD opportunity with a start in Sept 2024, joint between our group and colleagues in Liverpool https://t.co/sSp61PBkxz [https://t.co/cxp7A3q2D9]

[Sotirios (Sotos) Tsaftaris @STsaftaris]

Don't miss this opportunity to do exciting new-frontier research within a whole ecosystem of amazing experts. Apply now for one of the PostDoc positions of the CHAI hub. Deadline June 17 2024.

[Dr V Palin @v1kki_p]

Please share with your colleagues
Great data science job opportunity

@GeneralGeorge @glen_martin1 @MatthewSperrin @WGDixon @HeRC_Tweets @RLadiesMCR
@ysm_conference

[Wouter van Amsterdam @WvanAmsterdam]

Great to see the TRIPOD+AI reporting guideline published!

It does medical research a great service, but prognosis models intended to support treatment decisions need more, so we wrote a rapid response in the BMJ: https://t.co/LXRL08UWRc

[Sotirios (Sotos) Tsaftaris @STsaftaris]

🧑‍🎓✍️⚕️🤖Attention PhD researchers searching a postdoc. Do you want to work on cutting edge research in causal AI? Help us bridge healthcare and AI. Join us and help us shape the research of the national https://t.co/hGgUcMS5k2 hub. https://t.co/0kd9CmAPwP
#research #postdoc

[Mamas A. Mamas @mmamas1973]

How do you assess the calibration of multistate models used for risk prediction ? models - our work led by Alex Pate, @MatthewSperrin & @glen_martin1 provides insight.

Statistics in Medicine - Wiley Online Library https://t.co/JiE1SDmpmF @NielsPeek @Richard_D_Riley @profbuchan