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Posts tagged #HealthDataScience

#NHSData #NHSCareers #BiomedicalDataScience #HealthDataScience #UKResearch #DataScienceCareers #EDIinSTEM #MentoringMatters
#LeadershipInScience

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⏰ With Connect taking place on Friday, this is your final reminder to grab your online ticket before it's too late.
#healthresearch #digitalhealth #innovation #healthdatascience #smartphones #wearables #healthtech #populationhealth

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I started lecturing MPH students in September of 2025. To figure out how the information is landing, I run polls before and after the lecture. I'm pleased with how my survival analysis/time-to-event lecture landed #statistics #healthDataScience #survivalAnalysis #UofG #newLecturer #powerInData

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⏰ The countdown for Connect, our annual event is on. With just a week to go, this is your reminder to grab your online ticket before it's too late.
Book now: www.eventbrite.co.uk/e/hrfh-conne...
#healthresearch #digitalhealth #healthdatascience #smartphones #wearables #healthtech #populationhealth

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📢 If you work in academia, industry, the NHS, or the public sector - your experience matters.

Please like or share to help us reach the wider community.
#BiomedicalDataScience #HealthDataScience #UKResearch #DataScienceCareers #EDIinSTEM #MentoringMatters #LeadershipInScience

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Projects - Divi 5

🚨Apply now for our #fullyfundedPhDs in #HealthDataScience at @kingscollegelondon.bsky.social Calling all #healthdatascientists, #computerscientists, #engineers, and #AI 100+ projects available ⬇️ Deadline 12 January 2026. @kingsioppn.bsky.social @kingslsm.bsky.social @kingshealth.bsky.social

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LIDA researcher awarded £2 million Wellcome Trust Fellowship to transform treatment evidence for people with cardiovascular disease and multiple long-term conditions | Leeds Institute for Data Analyti...

Read the news article 👉 lida.leeds.ac.uk/news/lida-re...

#WellcomeTrust #ResearchExcellence #HealthDataScience #CardiovascularResearch #Multimorbidity #TargetTrialEmulation #CausalInference #HealthEquity #DataScience #HealthResearch

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The East of England SDE team is in Glasgow for the @HDRUKConference.
A great first day filled with insightful conversations and collaboration.

Come and #MeetEoESDE!
#TeamSDE
#MeetEoESDE
#HealthDataScience

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Association between Long-term Testosterone Exposure and Major Adverse Cardiovascular Events in Ageing Men AbstractContext. Hypogonadism is a common endocrine disorder in ageing men, associated with adverse cardiometabolic outcomes. Concerns about the cardiovasc

Congratulations to Paul, Samuel, and the rest of the oGRE team on the publication! Thank you to the West of Scotland Safe Haven team and Living Labs for the support! @uofgshw.bsky.social @uofgscmh.bsky.social #research #healthDataScience academic.oup.com/jes/advance-...

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Enjoying the engagement and provoking discussions at #HDRUK_25 Conference in Glasgow! Looking forward to the second day. @uofgshw.bsky.social #GLABDA #healthdatascience #pharmacoepidemiology #research

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🎙️ At the #HDRUKConference, hear from @lewishotchkiss.bsky.social on Accelerating AI-driven neuroimaging research in dementia and Simon Thompson on Challenges of supporting AI projects within Trusted Research Environments.
🧠 #DPUKDataPortal #HealthDataScience #DementiaResearch

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📢New Health Data Science Episode Available from the Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge📢

@cambridge-ceu.bsky.social @dphpc.bsky.social

#HealthDataScience #CEU #PHPC #Research

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Poster for an online seminar series titled Statistics & AI in Health Data Science.
Main talk:
“Turning Crap Data into Scientific Discovery: Statistical Magic in Microbiome Science”
Speaker: Dr. Michael C. Wu, Professor in the Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center.
📅 July 29, 2025
🕛 12:00–1:00 PM EST
Includes a photo of Dr. Wu and text describing his research focus, scientific contributions, and honors.
His work focuses on statistical and computational tools for human microbiome data, including development of widely used tools and over 100 publications. Honors include Fellow of the American Statistical Association and several ASA awards.

At the bottom, upcoming seminars are listed with speaker photos:

Taki Shinohara (Aug 11, 2025) on Data Harmonization

Jingyi Jessica Li (Aug 29, 2025) on Single-cell Sequencing

Zhengwu Zhang (Sept 17, 2025) on DTI

Logos for StatsUpAI, ASA, and SSGG shown. A QR code appears for registration.

Poster for an online seminar series titled Statistics & AI in Health Data Science. Main talk: “Turning Crap Data into Scientific Discovery: Statistical Magic in Microbiome Science” Speaker: Dr. Michael C. Wu, Professor in the Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Center. 📅 July 29, 2025 🕛 12:00–1:00 PM EST Includes a photo of Dr. Wu and text describing his research focus, scientific contributions, and honors. His work focuses on statistical and computational tools for human microbiome data, including development of widely used tools and over 100 publications. Honors include Fellow of the American Statistical Association and several ASA awards. At the bottom, upcoming seminars are listed with speaker photos: Taki Shinohara (Aug 11, 2025) on Data Harmonization Jingyi Jessica Li (Aug 29, 2025) on Single-cell Sequencing Zhengwu Zhang (Sept 17, 2025) on DTI Logos for StatsUpAI, ASA, and SSGG shown. A QR code appears for registration.

💡 Can 💩 become scientific discovery?

Find out in this online talk by our @wu-biostat.bsky.social:
"Statistical Magic in Microbiome Science"
🗓 July 29, 2025
🕛 12–1 PM EST
🔗 Scan to register (see image)

Hosted by StatsUpAI & @amstatnews.bsky.social SSGG
#Biostatistics #Microbiome #HealthDataScience

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Gesundheitspolitik weiterdenken Eine alternde Bevölkerung und der damit einhergehende Anstieg diagnostischer Tests stellen Gesundheitssysteme weltweit vor enorme Herausforderungen. Der sich rasant entwickelnde Bereich der künstliche...

#KI in der #Medizin: Wie können Mensch und KI-Systeme gemeinsam sichere Entscheidungen treffen? – Christian Baumgartner, Ass.-Professor für #HealthDataScience, berichtet im Jahresbericht über neue Entwicklungen auf seinem Forschungsgebiet.
www.unilu.ch/magazin/arti...

@cfbaumgartner.bsky.social

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HRfH: Smart-Health
HRfH: Smart-Health YouTube video by Health Research from Home

The recording of last week's webinar with Tim Chico and Ellen Buckley is now available on our YouTube channel. If you were unable to attend, you can watch our webinar, along with recordings of past webinars, on our YouTube: youtu.be/5wL9ki1-D9g #webinar #healthresearch #healthdatascience

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Did you know that we upload recordings from all our #webinars on our YouTube channel?📹 Go to our YouTube channel: www.youtube.com/@HealthResea...
🖥️ Sign up for our next webinar taking place on Wednesday 2 July, at 1pm-2pm BST: zoom.us/webinar/regi... #healthresearch #digitalhealth #healthdatascience

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The #Pitchathon is complete—teams have formed and hacking has begun!

Each team will tackle clinical problems using real health data with Epic Cosmos.

#HealthDataScience #Hackathon #UCSD

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We’re live at @ucsandiego.bsky.social Health Data Science Day! 🚀

General sessions, hands-on collaboration, and a full day of building with real health data.

#HealthDataScience #UCSD #HackHealth #ClinicalInformatics

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Dr Ellen Buckley is a post-doctoral research associate at the University of Sheffield working across the NIHR Sheffield Biomedical Research Centre. Her research aims to develop objective measures of people’s lived experience of mobility disability using wearable sensors and digital technologies.

Dr Ellen Buckley is a post-doctoral research associate at the University of Sheffield working across the NIHR Sheffield Biomedical Research Centre. Her research aims to develop objective measures of people’s lived experience of mobility disability using wearable sensors and digital technologies.

Post image Professor Tim Chico is Professor of Cardiovascular Medicine at the University of Sheffield and a consultant Cardiologist at Sheffield Teaching Hospitals NHS Foundation Trust. His national roles include Associate Director of the British Heart Foundation Data Science Centre, where he leads the Smartphone and Wearable data theme. Tim's career has spanned academia and industry across genetics, vascular biology, drug discovery and health data science. He jointly leads South Yorkshire's specialist service for pregnant women with heart disease and sits on the council of the UK Maternal Cardiology Society.

Professor Tim Chico is Professor of Cardiovascular Medicine at the University of Sheffield and a consultant Cardiologist at Sheffield Teaching Hospitals NHS Foundation Trust. His national roles include Associate Director of the British Heart Foundation Data Science Centre, where he leads the Smartphone and Wearable data theme. Tim's career has spanned academia and industry across genetics, vascular biology, drug discovery and health data science. He jointly leads South Yorkshire's specialist service for pregnant women with heart disease and sits on the council of the UK Maternal Cardiology Society.

Smart Health webinar - Meet the speakers. 🗓️ Wednesday 2 July 🕐 1pm-2pm BST 🔗zoom.us/webinar/register/WN_mnwg... #webinar #healthresearch #innovation #healthdatascience #smartphones#healthtech #HRfH

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#NSFCOMPASS #HealthDataScience #MachineLearning #VirusSurvival #PublicHealthResearch #UMichigan #PERSISTthrust

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🤔 Unsure whether to join our Grant Writing Retreat?
With the deadline to join the waitlist fast approaching, we've created these guides to give you all the information you need before signing up. #healthdatascience #grantwritingretreat

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GitHub - jocelynfriday/UsefulDataSceinceResources: Papers that I've fround to be particuarly useful for health data science research (including stats, epidemiology, coding, etc.) Papers that I've fround to be particuarly useful for health data science research (including stats, epidemiology, coding, etc.) - jocelynfriday/UsefulDataSceinceResources

Myself and a few others have been pulling together some useful health data science resoueces and references. What do you think, what are we missing? github.com/jocelynfrida...
#healthdatascience #r #stats #epidemiology

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🧠💻This time last week: a look back at our first #hackathon... A big thank you to all involved in planning and delivering this event - watch this space for more events like it! #healthresearch #digitalhealth #healthdatascience

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🚀Day 1️⃣of our #Hackathon is officially underway! The teams are already deep into their first task, and we’re excited to share more about their progress soon. Stay tuned! 👀 #healthresearch #digitalhealth #healthdatascience

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Best practices in PPIE for health data science This event aims to equip you with the knowledge and inspiration to integrate PPIE into your own research practices.

Want to learn how to meaningfully involve patients and the public in health data research?

Join us on Wed 21st May at @universityofleeds.bsky.social for an event hosted by @lida-leeds.bsky.social Health ECR Community

Register here: www.eventbrite.co.uk/e/best-pract...

#PPIE #HealthDataScience

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Two more weeks until our next #webinar! 🗓️ Wednesday 14 May | 🕐 1pm-2pm, BST | 🔗 Book now: zoom.us/webinar/regi... #healthresearch #digitalhealth #healthdatascience

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With the closing date for registrations fast approaching, we wanted to introduce you to the people who are helping to make this #hackathon happen. You can read about them in the graphics or in the comments. ➡️ Apply now before Sunday 6 April: 2ly.link/24z96 #HealthDataScience #DigitalHealth

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As we get closer to the #hackathon, we wanted to introduce you to the people who are helping to make this hackathon happen! The HRfH community is not just made up of established clinicians and professors but PhD students and our public contributors. #HealthDataScience #DigitalHealth #HealthData

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Unsure about applying for our #hackathon? Watch this short video to get an idea of what to expect. Persuaded? Apply now by Sunday 6 April: 2ly.link/25bZN
#healthresearch #healthdatascience #earlycareerresearcher #smartphones #healthdata

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AI-driven qualitative analysis is reshaping public health research. With automated coding, NLP, and machine learning, thematic analysis is faster and more scalable than ever. But rigor, bias mitigation, and ethical data practices remain essential. #QualitativeResearch #HealthDataScience

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