#ClinicalData

@fiosgenomics.bsky.social

6 days ago

Make clinical data mining easier for yourself!
Learn how to overcome the most common challenges, by reading our blog:

www.fiosgenomics.com/challenges-in-clinical-d...

#clinicaldata #datamining #drugdevelopment #bioinformatics

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Fios Genomics

@fiosgenomics.bsky.social

2 weeks ago

🔬 Linear Mixed Effects Models
Repeated measures in clinical trials= correlated data points.
Are you using the right model?
Learn how linear mixed effects models help analyse repeated measures data:
www.fiosgenomics.com/linear-mixed-effects-mod...
#bioinformatics #clinicaldata #datascience

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pharmaphorum

@pharmaphorum.bsky.social

3 weeks ago

MSD and Mayo Clinic team up on AI drug discovery MSD has signed an industry-first deal with the Mayo Clinic that will allow it to use the health system's genomic and clinical data for drug discovery.

#MSD has signed a deal with the #MayoClinic that will allow it to use the health system's #genomicdata and #clinicaldata for #drugdiscovery.

pharmaphorum.com/news/msd-and...

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Hematology Advisor

@hematologyadvisor.bsky.social

3 weeks ago

Emicizumab Prophylaxis May Be Safe, Effective in Infants With Hemophilia A Emicizumab prophylaxis was considered potentially safe and effective in a real-world, international study of infants with hemophilia A.

Emicizumab reduced mean ABR from 11.48 to 0.05 over 12 months.

71% of patients remained bleed-free compared to 35% at baseline.

Target joint bleeding decreased by 82% during the study period.

Read the review: https://bit.ly/4c2doPQ

#Hematology #HemophiliaA #ClinicalData #PrecisionMedicine

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Atorus Research

@atorusresearch.com

1 month ago

AI Code Refactoring: Kiro Test Results | Atorus Research Atorus CIO Mike Stackhouse tested AI code refactoring with Kiro agent on a complex R package. Honest results: 2 weeks reduced to 6-8 hours, including pitfalls.

4/ See how AI agents are moving from "chatbots" to "engineers" in our latest deep dive. www.atorusresearch.com/ai-code-refa... #ClinicalData #FutureOfWork

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Fios Genomics

@fiosgenomics.bsky.social

1 month ago

Make clinical data mining easier for yourself!
Learn how to overcome the most common challenges, by reading our blog:

www.fiosgenomics.com/challenges-in-clinical-d...

#clinicaldata #datamining #drugdevelopment #bioinformatics

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Fios Genomics

@fiosgenomics.bsky.social

1 month ago

🔬 Linear Mixed Effects Models
Repeated measures in clinical trials= correlated data points.
Are you using the right model?
Learn how linear mixed effects models help analyse repeated measures data:
www.fiosgenomics.com/linear-mixed-effects-mod...
#bioinformatics #clinicaldata #datascience

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40:40 Recruitment - celia@4040recruitment.co.uk

@4040rec.bsky.social

1 month ago

Ipsen announces new data on Dysport in neurological disease - PharmaTimes Dysport reduces muscle contractions by blocking the transmission of nerve impulses

#neurology #Ipsen #Dysport #abobotulinumtoxinA #neurologicaldisease #clinicaldata #stroke #neurologicaldisorders #EPITOMEstudy #poststrokespasticity #PSS #strokepatients #realworlddata #strokesurvivors #botulinumtoxintypeA #BoNTA #PSStreatment #BoNTAinjectable #biopharmaceuticals
zurl.co/nLqKq

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The Evidence Base

@theevidencebase.bsky.social

2 months ago

Becaris Publishing

ConcertAI and Foundation Medicine to link real-world #ClinicalData with #genomics to advance #oncology research | Becaris Publishing becarispublishing.com/digital-cont...

1 1 0 0

lex

@lexthirteenai.bsky.social

2 months ago

Nearly 80% of clinical data lives in unstructured text. Notes hold the meaning, but machines cannot read them reliably. AI struggles long before the model stage. #ClinicalData #EHR

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Fios Genomics

@fiosgenomics.bsky.social

2 months ago

Make clinical data mining easier for yourself!
Learn how to overcome the most common challenges, by reading our blog:

www.fiosgenomics.com/challenges-in-clinical-d...

#clinicaldata #datamining #drugdevelopment #bioinformatics

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JMIR Publications

@jmirpub.bsky.social

2 months ago

Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study Background: Manual abstraction of unstructured clinical data is often necessary for granular clinical outcomes research but is time consuming and can be of variable quality. Large language models (LLMs) show promise in medical data extraction yet integrating them into research workflows remains challenging and poorly described. Objective: To develop and integrate an LLM-based system for automated data extraction from unstructured electronic health record (EHR) text reports within an established clinical outcomes database. Methods: We implemented a generative artificial intelligence (genAI) pipeline (UODBLLM) utilizing a flexible language model interface that supports various LLM implementations, including Health Insurance Portability and Accountability Act (HIPAA)-compliant cloud services and local open-source models. We used Extensible Markup Language (XML)-structured prompts and integrated using an open database connectivity interface to generate structured data from clinical documentation in the EHR. We evaluated UODBLLM's performance on completion rate, processing time, and extraction capabilities across multiple clinical data elements, including quantitative measurements, categorical assessments, and anatomical descriptions, using sample MRI reports as test cases. System reliability was tested across multiple batches to assess scalability and consistency. Results: Piloted against MRI reports, UODBLLM processed 1,800 clinical documents with a 100% completion rate and an average processing time of 8.90 seconds per report. Token utilization averaged 2,692 tokens per report, with an input-to-output ratio of approximately 13:2, resulting in a processing cost of $0.009 per report. UODBLLM had consistent performance across 18 batches of 100 reports each and completed all processing in 4.45 hours. From each report, UODBLLM extracted 16 structured clinical elements, including prostate volume, PSA values, PI-RADS scores, clinical staging, and anatomical assessments. All extracted data was automatically validated against predefined schemas and stored in standardized JSON format. Conclusions: We demonstrated successful integration of an LLM-based extraction system within an existing clinical outcomes database, achieving rapid, comprehensive data extraction at minimal cost. UODBLLM provides a scalable, efficient solution for automating clinical data extraction while maintaining protected health information security. This approach could significantly accelerate research timelines and expand feasible clinical studies, particularly for large-scale database projects.

Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study #ArtificialIntelligence #ClinicalData #HealthTech #DataExtraction #LLM

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Fios Genomics

@fiosgenomics.bsky.social

2 months ago

Want to know about our data analysis expertise for clinical development? See a brief overview of what we can do!
https://www.fiosgenomics.com/clinical-development
#bioinformatics #pharma #clinicaldata

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Atorus Research

@atorusresearch.com

2 months ago

Reliable R matters. OpenVal® provides curated, validated package sets with a reproducible framework, so analyses stay consistent and inspection-ready across studies. #ClinicalData #RStats (contd.)

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Atorus Research

@atorusresearch.com

2 months ago

Meet Ageirein, Atorus’ multilingual, GxP-ready clinical data analytics platform. See it unify R, SAS®, and Python in a validated environment. Watch how teams, platforms, and processes come together in one platform: tinyurl.com/3sjd86mt

#Ageirein #ClinicalData #OpenSource #PharmaTech #DataThatDoes

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@yuvip.bsky.social

3 months ago

Japan Clinical Data Analytics Market Size, Growth Outlook 2035 Japan Clinical Data Analytics Market growth is projected to reach 982.4 USD million, at a 12.658% CAGR by driving size, share, top company analysis, segments research, trends and forecast report 2025 ...

Growing use of AI & big data fuels the Japan Clinical Data Analytics Market 📊🧬 Discover insights 👉 www.marketresearchfuture.com/reports/japa... #HealthAnalytics #ClinicalData

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Lumanity

@lumanity.bsky.social

3 months ago

In a crowded healthcare market, simply having data is no longer enough. Tune into the podcast to learn how to transform information into insights and insights into real competitive advantage! buff.ly/htwkckB
#LaunchReadiness #CompetitiveIntelligence #ClinicalData #LaunchExcellence #ClinicalInsights

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Atorus Research

@atorusresearch.com

3 months ago

Atorus Professional Services help life sciences teams design, implement, and maintain compliant, scalable platforms so your analytics, infrastructure, and operations work together instead of in silos. Download the info sheet. tinyurl.com/jc7r6j87 #LifeSciences #ClinicalData #AnalyticsEngineering

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Fios Genomics

@fiosgenomics.bsky.social

3 months ago

🔬 Linear Mixed Effects Models
Repeated measures in clinical trials= correlated data points.
Are you using the right model?
Learn how linear mixed effects models help analyse repeated measures data:
www.fiosgenomics.com/linear-mixed-effects-mod...
#bioinformatics #clinicaldata #datascience

1 0 0 0

Fios Genomics

@fiosgenomics.bsky.social

3 months ago

Make clinical data mining easier for yourself!
Learn how to overcome the most common challenges, by reading our blog:

www.fiosgenomics.com/challenges-in-clinical-d...

#clinicaldata #datamining #drugdevelopment #bioinformatics

0 0 0 0

Signal Transduction and Targeted Therapy

@sigtrans-sttt.bsky.social

3 months ago

Scientists present PROGPATH, a unified #pancancer prognosis prediction model that integrates #histopathological image features with #ClinicalData using #DeepLearning, achieving superior performance across diverse #cancers, stages and treatments.

#STTT: doi.org/10.1038/s413...

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Keragon

@keragon.bsky.social

3 months ago

Reimagine clinical research with workflow automation:

- 🧠 Automate every step: data collection, validation, and storage
- 🔄 Reduce manual work, errors, and delays in clinical research
- 🔒 Ensure your data is secure and compliant
Read more: www.keragon.com/blog/clinica...
#ClinicalData

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SYNTHEMA

@synthemaeu.bsky.social

3 months ago

Over 450 haematological diseases affect blood cells, the lymphatic system & coagulation, posing major challenges to public #HealthSystems.
#SYNTHEMA is developing a secure platform for synthetic #ClinicalData to enable GDPR-compliant research in rare #HaematologicalDiseases.

👉 synthema.eu

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BF Francis Ouellette

@bffo.bsky.social

3 months ago

The ICGC ARGO data dictionary for standardizing global cancer clinical data - Scientific Data Scientific Data - The ICGC ARGO data dictionary for standardizing global cancer clinical data

From @natureportfolio.nature.com #Scientific #Data | The ICGC ARGO data dictionary for standardizing global cancer clinical data | #Cancer #ClinicalData #Bioinformatics #Genomics #OpenScience 🧬 🖥️ 🧪 🔓
⬇️
www.nature.com/articles/s41...

3 0 0 0

Fios Genomics

@fiosgenomics.bsky.social

3 months ago

🔬 Linear Mixed Effects Models
Repeated measures in clinical trials= correlated data points.
Are you using the right model?
Learn how linear mixed effects models help analyse repeated measures data:
www.fiosgenomics.com/linear-mixed-effects-mod...
#bioinformatics #clinicaldata #datascience

1 0 0 0

Atorus Research

@atorusresearch.com

3 months ago

Clinical Data Management Services | Atorus Research Optimize your clinical data management process with Atorus. From FSP implementation to data validation and analytics, we streamline workflows, enhance compliance, and deliver high-quality, reproducibl...

5/ You want EDC processes that run on rails: partner with Atorus for tech-enabled FSP. Learn more → www.atorusresearch.com/clinical-ana... #FSP #ClinicalData

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British Society for Immunology

@britsocimm.bsky.social

3 months ago

Sign up to our online #bioinformatics course to:

🔸Gain expert statistical analysis & #R skills
🔸Explore #omic datasets with many experimental groups & #ClinicalData in R
🔸Work on #proteomics, bulk RNA-seq & #GeoMx

Book onto the Feb 2026 course now: https://bit.ly/47kXFaC

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RichardJR

@electricbluesfan.bsky.social

4 months ago

2/11 WHY THIS STUDY WAS NEEDED

Co-author #YangjianchenXu (UWaterloo) notes the #FDA authorized these #vaccines without new "clinical data."

"So our study aims to fill up this gap and by examining the real world data," he told CBC K-W.

#VaccineEffectiveness #Science #ClinicalData

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Atorus Research

@atorusresearch.com

4 months ago

Webinar: “Breaking Clinical Data Silos,” showcasing unified R, SAS®, and open-source workflows that improve efficiency and compliance.

See how experts are transforming clinical data workflows with GxP-ready, unified multilingual analytics that boost collaboration & cut manual effort — without losing compliance. Register for the webinar today: tinyurl.com/25b4jfef

#AtorusUnscripted #DataThatDoes #ClinicalData #DataAnalytics

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Atorus Research

@atorusresearch.com

4 months ago

Clinical Data Management Services | Atorus Research Optimize your clinical data management process with Atorus. From FSP implementation to data validation and analytics, we streamline workflows, enhance compliance, and deliver high-quality, reproducibl...

5/ Replace heroics with a governed, insight-driven operating model, partner with Atorus for strategy, skill, and efficiency that scales. Learn more → www.atorusresearch.com/clinical-ana... #FSP #ClinicalData

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Posts tagged #ClinicalData