#BiomedicalData — Bluesky Posts

2 months ago

Maine IDeA Data Science Conference Join us for a conference on Biomedical Data Science in Maine! This event unites researchers, data enthusiasts, and innovators. Experience engaging scientific talks, an interactive poster session, and roundtable discussions that promote collaboration and innovation in the field.

Join us February 27–28 for a Biomedical Data Science Conference in Maine.

Two days of talks, posters and discussions bringing together researchers and data enthusiasts to explore applications, tools and education in #datascience.

🧪 🖥️ 🧬 #biomedicaldata #MaineINBRE #MaineTechnologyInstitute

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Scripps Research

@scripps.edu

2 months ago

Scripps Research scientists published a new #mSystems article describing the @niaidnews.bsky.social Discovery Portal, a metadata-driven platform that enables discovery of infectious and immune-mediated disease datasets. More: ow.ly/iGwC50XSA8G #BiomedicalData #InfectiousDisease

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Javier Santoyo

@jsantoyo.bsky.social

3 months ago

Xenbase: 25 years of integrating molecular and biomedical data from Xenopus. #Xenopus #MolecularData #BiomedicalData #Genetics 🧪🧬 🖥️
academic.oup.com/genetics/adv...

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RENCI

@rencimedia.bsky.social

3 months ago

In #SC25 Booth 4424 at 3:30 PM, Chris Bizon will be presenting on the #NCATS #BiomedicalData Translator, a new tool for Biomedical Data Integration and Inference.

Learn more: renci.org/sc25

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BioniChaos

@bionichaos.bsky.social

3 months ago

Beyond the Bar Chart: The Visual Language of Life in Biomedical Data YouTube video by BioniChaos

Data Viz Deep Dive: From Anscombe's Quartet to Viridis color maps, learn how plot choices and color schemes reveal or hide the truth in biomedical data (EEG, HRV, EMG). Essential viewing for critical analysis. youtu.be/tkUdj5mRgos
#DataViz #DataScience #BiomedicalData #BioniChaos

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BioniChaos

@bionichaos.bsky.social

3 months ago

Unpacking Wearable Accuracy: The Science of Photoplethysmography (PPG) Signal Determinants YouTube video by BioniChaos

The quality of your wrist wearable data (PPG) is heavily influenced by simple factors like arm posture and gravity. We break down the science, showcasing how smart, adaptive LED intensity is vital for accurate readings across all skin tones. youtu.be/eULRTRMvzPU
#PPG #WearableTech #BiomedicalData

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ZB MED - Informationszentrum Lebenswissenschaften

@zbmed.bsky.social

6 months ago

Converging Forces: A Collaborative Vision for Training in Biomedical Data Management As biomedical research becomes increasingly data-driven, the need for coherent, high-quality training in research data management (RDM) has never been more pressing [1]. A well-trained workforce — comprising both researchers and data stewards — is essential to ensure that data is FAIR [2], secure, and usable across disciplines and institutions. While many National Research Data Infrastructure (NFDI) consortia have independently developed training activities, these efforts often remain fragmented, leading to duplication, gaps, and inconsistent learning experiences. In response, NFDI's Section Training and Education (EduTrain) emerged to develop a framework for the NFDI as a whole [3]. Regarding the biomedical domain context, several NFDI consortia have begun to coordinate and align their RDM training strategies, share resources, and co-create a unified curriculum tailored to the needs of the biomedical research community. This initiative is based on three core objectives: (i) aligning training activities and pedagogical approaches across consortia, (ii) co-developing a modular, community-driven curriculum framework for data stewardship/RDM, and (iii) building on existing educational resources through systematic evaluation, reuse, and collaborative content development. These activities are also closely linked to EduTrain, the DALIA (DAta LIteracy Alliance) framework and the newly launched RDMTraining4NFDI base service [4]. Alignment of training activities involves identifying overlapping goals and audiences among consortia such as NFDI4Health, GHGA, NFDI4BioImage. Through the recently formed Biomedical Interest Group [5], these consortia - and others are welcome to join - are mapping existing training efforts, identifying good practices and facilitating communication between trainers and stakeholders. The goal is to reduce redundancy while increasing interoperability and visibility of training resources across national and international infrastructures. Co-creation of a common RDM curriculum lies at the heart of this effort. Rather than prescribing a one-size-fits-all program, the initiative is developing a modular, biomedical-focused curriculum framework that can be adapted to career stages and specific disciplinary needs. It encompasses both foundational RDM concepts and domain-specific modules, addressing the training needs of researchers, data stewards, and infrastructure providers [6]. A co-creation model ensures that content is grounded in real-world use cases and developed collaboratively by domain experts, instructional designers, and training coordinators from the consortia. A recent example is the ASSURED [7] service developed by KonsortSWD-NFDI4Society, BERD4NFDI and GHGA, which is being tested in the other biomedical consortia for usability, adaptability and new content. The initiative emphasizes leveraging and contributing to existing resources. Many high quality materials already exist within individual consortia, but are under-utilised beyond their original scope and, unfortunately, not shared according to the FAIR principles [8]. By piloting joint training sessions, integrating materials into common platforms, such as OERSI and DALIA, and exploring peer review processes, the community aims to assess, improve, and extend these assets. In addition, contributors will be encouraged to openly license new materials, ensuring widespread reusability and fostering a culture of open education. We present a shift from isolated training activities to a sustainable, community-driven ecosystem for biomedical Data Literacy education. Together, consortia can more effectively support the growing demands of data-centric research and contribute to a future where high-quality RDM is the norm—not the exception.

In der nächsten Session gibt es auch den Talk "Converging Forces". Darin wird gezeigt, wie gemeinsam ein besseres Training im biomedizinischen Datenmanagement gelingt - unter anderem mit Birte Lindstädt von @zbmed.bsky.social

#BiomedicalData #Training #CoRDI2025

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Abhishek Jha

@ajelucidata.bsky.social

7 months ago

No one announces a “data quality failure.”
It shows up as delays, poor model performance, regulatory headaches, and slipping timelines.
We’re great at collecting data, less so at making it usable.
In science, shaky data is a risk, not just tech debt.

#Biomedicaldata #AI

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Javier Santoyo

@jsantoyo.bsky.social

7 months ago

Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines. #FAIR #BiomedicalData #CloudPipeline #PLOScomputationalBiology
journals.plos.org/ploscompbiol...

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@longevitytech.bsky.social

7 months ago

UK Biobank hits 100,000 scan milestone, as data reveals early disease signatures and new biological aging insights across organ systems.

longevity.technology/news/largest...

#longevity #UKBiobank #precisionhealth #agingresearch #biomedicaldata #healthspan #futureofmedicine

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Abhishek Jha

@ajelucidata.bsky.social

8 months ago

Biomedical teams still treat data like cinema:
Subscribe. Download. Adapt. Wait.

But science moves like reels - live, nonlinear, always evolving.

It’s not about watching the story.
It’s about rewriting it - at the speed of discovery.

#AIReady #DataOpsForScience #BiomedicalData #science #AI

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Albert Einstein College of Medicine

@einsteinmededu.bsky.social

9 months ago

New Data Science Institute Takes Shape at Einstein | Einstein Magazine Albert Einstein College of Medicine launches a $7M data science institute to help researchers harness large sets of data that can lead to medical breakthroughs.

Learn how a $7 million gift from an anonymous donor will help Einstein researchers harness large sets of #biomedicaldata that can lead to medical breakthroughs.
bit.ly/43fQdNg #SciSky #MedSky

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Abhishek Jha

@ajelucidata.bsky.social

10 months ago

📍Drop in a comment below!

#EHR #PatientRecords #DataManagement #BiomedicalData

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Sonika Tyagi

@tsonika.bsky.social

10 months ago

Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal biomedical data Abstract. The application of machine learning (ML) techniques in predictive modelling has greatly advanced our comprehension of biological systems. There i

New publication from the lab @tyagilab.bsky.social academic.oup.com/biomethods/a...

#multimidaldata #biomedicaldata #dataharmonisation #tyagilab

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@hounsfield96.bsky.social

1 year ago

Frontiers | The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south Tumor boards are multidisciplinary teams of healthcare professionals that are working together to encompass the full spectrum of care around diagnosing, plan...

#Healthcare #HealthcareAI #Health #HealthAI #Cancer #CancerAI #Oncology #OncologyAI #Onco #OncoAI #TumorBoard #GlobalSouth #DigitalHealth #HealthTechnology #HealthTech #Data #DataScience #BigData #AI #BiomedicalData #MedicalData #Medicine #Biomedical #LMICs

www.frontiersin.org/journals/dig...

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NFDI4Microbiota

@nfdi4microbiota.bsky.social

1 year ago

🚀 Big day in Heidelberg!
@ghga.bsky.social @NFDI4Immuno, @nfdi4microbiota.bsky.social crobiota, NFDI4Health, & @nfdi4bioimage.bsky.social join forces for a workshop on research data management. 🤝
#OpenScience #RDM #BiomedicalData

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Yuri Quintana

@yuriquintana.com

1 year ago

Biomedical Informatics
• #BiomedicalInformatics
• #BioMedicalData
• #TranslationalScience
• #HealthDataScience
Bioinformatics
• #Bioinformatics
• #Genomics
• #DataScience
• #AIInBioinformatics

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NFDI4BIOIMAGE

@nfdi4bioimage.bsky.social

1 year ago

🎤 Kicking off the NFDI BioMedicine Data workshop with Overviews by spokespersons @ghga.bsky.social #NFDI4Immuno, @nfdi4microbiota.bsky.social #NFDI4Health, @nfdi4bioimage.bsky.social outlining key strategies in RDM for biomedical data.
#NFDIrocks #nfdibiomed #BiomedicalData #RDM

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