Reporting from the MSBMI research seminar!

We’re joined by Todd Johnson, PhD, who is presenting: "Black Box as a Diagnostic Reasoning Benchmark for LLMs" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC #LLM

Complete Resolution of Persistent Globus Pharyngeus Using Cervical Plexus Block: A Case Report This case describes the successful treatment of persistent globus pharyngeus in a patient refractory to a multitude of traditionally used, mainstay interventions. This report is the first in the Engl...

A paper in The Laryngoscope presents the first successful use of a cervical plexus block for persistent globus pharyngeus, offering a new clinical pathway for chronic throat sensations.
bit.ly/4lOpOOh

#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI #AISky #AcademicSky #MLSky

Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis Retinal image analysis has enjoyed groundbreaking advances in the last ten years due to seismic improvements in image analysis techniques from the fie…

New Review 💬 Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis: www.sciencedirect.com/science/arti...

#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI #AISky #AcademicSky #MLSky #OpenScience

ApplyPolygenicScore functionality. Application of ApplyPolygenicScore functions demonstrated in a case study of 1071 individuals from the TCGA database, diagnosed with bladder (BLCA), liver (LIHC), or uterine (UCEC) cancer. A. Recommended workflow when implementing functions provided by ApplyPolygenicScore . A set of preprocessing functions convert polygenic risk score model (PGM) weight files into BED-formatted genomic coordinate files for suggested use in filtering VCF genotype data to desired coordinates. PGM application functions facilitate genetic data importation and weighted sum computation. Visualization functions provide summary information on computed PGSs and phenotype data. Solid arrows indicate required inputs and dotted arrows indicate optional inputs. B. BMI PGS densities, cohort-wide and by categorical phenotypes, computed in the case study cohort and automatically plotted by the create.pgs.density.plot function. C. Correlations of PGSs from (B) with continuous phenotypes automatically plotted by the create.pgs.with.continuous.phenotype.plot function. D. Receiver-operator curves plotted by the analyze.pgs.binary.predictiveness function depicting the performance of the PGSs from (B) to predict obesity status as a sole predictor (top) and with covariates age at diagnosis, sex, and the first 10 principal components of genetic ancestry (bottom). Positive obesity status is defined as BMI ≥ 30. E. From top to bottom: percentile rank of PGSs from (B) for each individual in ascending order, decile and quartile covariate bars, categorical phenotype covariate bars, and continuous phenotype heatmaps. Nicole Zeltser; Rachel M.A. Dang; Rupert Hugh-White; Daniel Knight; Jaron Arbet; Paul C. Boutros

🚀 ApplyPolygenicScore encourages the research community to extend the findings of the statistical genetics niche, facilitating broader use of PGSs and subsequent novel discovery: bit.ly/41jRDnS

#ArtificialIntelligence #BiomedicalInformatics #MLSky #AISky #MedSky #AcademicSky #SciSky #OpenScience

Reporting from the MSBMI research seminar!

We’re joined by Rachel Richesson, PhD, MPH, FACMI, FAMIA, who is presenting: "Approaches to Standardizing Override Reasons for Clinical Decision Support" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC #CDS

Lithium and the Brain–Bone Axis: A Bridge between Osteoporosis and Alzheimer’s Disease - Current Osteoporosis Reports Purpose of Review We evaluate the converging evidence positioning lithium as a systemic modulator of bone and brain health through shared molecular pathways. This review examines the molecular basis, ...

New Review in @springernature.com 💬 Lithium offers a unique paradigm for understanding and potentially treating age-related decline in multiple organ systems at subclinical dosage and concentration.

bit.ly/4siRZqL

#ArtificialIntelligence #BiomedicalInformatics #AISky #MLSky #MedSky #MedAI

Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance AbstractObjective. Healthcare decisions are increasingly made with the assistance of machine learning (ML). ML has been known to have unfairness—inconsiste

New Article: Bridge2AI researchers discover suppression of poor-quality ML predictions through an auditor model shows promise in improving collaborative human-AI performance and fairness

🔗 academic.oup.com/jamia/articl...

#ArtificialIntelligence #BiomedicalInformatics #AISky #MLSky #MedSky #MedAI

Generative Artificial Intelligence Methodology Reporting in Otolaryngology: A Scoping Review As the capabilities of large language models (LLMs) have rapidly grown, investigations into their utility within otolaryngology have also proliferated widely. However, LLMs are remarkably dependent o...

New Review 💬 Generative Artificial Intelligence Methodology Reporting in Otolaryngology

🔗 onlinelibrary.wiley.com/doi/10.1002/...

#BiomedicalInformatics #MedSky #MedAI #AISky #AI #ML #GenerativeAI #ChatGPT #GoogleGemini #Claude #ArtificialIntelligence #GenAI #LLMs

Bridge2AI March Events: Tuesday, March 17th (12:00 PM PT/3:00 PM ET): Bridge2AI Discussion Forum on Emerging ELSI Issues with Dr. Nicholas Evans: Conjoint Analysis of Perspectives on Ethical Tradeoffs in Data Generation Project Thursday, March 19th (12:00 PM PT/3:00 PM ET): Bridge2AI TRM Novel AI Technology Module Lecture with Dr. William Speier: Multimodal Deep Learning Models for Thyroid Cancer Risk Stratification

Join us for our upcoming seminars in #ArtificialIntelligence 🚀

1️⃣Conjoint Analysis of Perspectives on Ethical Tradeoffs in Data Generation Project

2️⃣Multimodal Deep Learning Models for Thyroid Cancer Risk Stratification

🔗 bridge2ai.org/events/

#BiomedicalInformatics #MedSky #MedAI #AISky #AIML

New Publication: Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets 🚀

🔗https://pubmed.ncbi.nlm.nih.gov/41728802/

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #QML #AIML #QuantumMachineLearning

What is #humanintheloop? It's February's Term of the month! 💡

Watch the recording of this month's Discussion Forum on Emerging #ELSI Issues where Dr. Susannah Rose, PhD discussed the ethical issues of #AI systems for healthcare delivery: youtu.be/eH1pPCz4lyg

#biomedicalinformatics #MedSky #AISky

Exploring Real‐Time Tracking of Vocal Fold Polyps in Video‐Stroboscopy Using Deep Learning The study presents a deep learning based pipeline for near real-time detection and tracking of vocal fold polyps in video-stroboscopy. By combining frame-level object detection with a temporal tracki....

#YOLO isn't just a motto, it's a model! 🚀 Explore how You Only Look Once was used to develop a #deeplearning object detection system for identifying vocal fold polyps in stroboscopic video frames: onlinelibrary.wiley.com/doi/10.1002/...

#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI

Just as with audience design, prompt optimization involves adjusting an existing prompt to improve output. Prompt engineering formalizes something humans already do intuitively. #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC #Promptengineering #Informatics #ArtificialIntelligence

Reporting from the MSBMI research seminar!

We’re joined by Amy Franklin, PhD, who is presenting: "Prompt Engineering for People: Designing How We Talk About Informatics" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC #Promptengineering #Informatics #ArtificialIntelligence #Seminar

BRIDGE2AI – Propelling Biomedical Research with Artificial Intelligence

Want to learn more about the Bridge2AI program and our data generation projects addressing grand challenges? Visit: bridge2ai.org 🚀

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #AI #ML

Artificial Intelligence Ready and Exploratory Atlas for Diabetes Insights Generating a flagship AI-ready and ethically-sourced dataset to support future AI-driven discoveries in diabetes

The AIREADI dataset uses data from participants with and without T2DM, collected via methods like surveys and clinical measurements at 3 sites. The data is hosted in Fairhub and accessible under controlled access.
🔗 aireadi.org/dataset

#ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI

Bridge2AI - Voice Bridge2AI-Voice Dataset The Bridge2AI-Voice(B2Ai-Voice) dataset is a large, ethically sourced, and demographically diverse voice dataset linked to health information, released by the NIH’s Bridge2AI i...

The Voice dataset uses an app to collect acoustic tasks, surveys, and questionnaires from participants at 5 North American sites. The data is hosted in PhysioNet with registered and controlled access to preserve voice data.
🔗 b2ai-voice.org/bridge2ai-vo...

#BiomedicalInformatics #MedSky #MedAI

Data Releases – Cell Maps For AI (CM4AI)

The CM4AI dataset uses mapping techniques to generate a library of large-scale cell maps. The data is stored in RO-Crate packaging and hosted in UVA Dataverse.
🔗 cm4ai.org/data-releases/

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #AI #ML

The CHoRUS dataset uses data collected from patient admissions to ICUs across 14 hospitals in the U.S. The data is hosted in MGB Azure with access managed through registration. 🔗 chorus4ai.org/dataset/

#ArtificialIntelligence #BiomedicalInformatics #MedSky #AISky #MedAI #AI #ML

🚨 Abstracts due March 1 🚨Submit posters & 3-5 min lightning talks for the 2026 I2DB Scientific Symposium on April 13. Faculty, postdocs, grad students, and collaborators welcome, including work in progress.

Submit: i2db.wustl.edu/calendar_eve...

#BiomedicalInformatics #HealthAI #CallForAbstracts

Exploring Real‐Time Tracking of Vocal Fold Polyps in Video‐Stroboscopy Using Deep Learning The study presents a deep learning based pipeline for near real-time detection and tracking of vocal fold polyps in video-stroboscopy. By combining frame-level object detection with a temporal tracki...

New publication in Wiley Laryngoscope: Exploring Real-Time Tracking of Vocal Fold Polyps in Video-Stroboscopy Using #DeepLearning 💡 onlinelibrary.wiley.com/doi/10.1002/...

#AI #ArtificialIntelligence #BiomedicalInformatics #MedSky #MedAI #MLSky #VoiceAI

Would you like to join the #PRBBcommunity? Discover an exceptional environment to boost your career 🚀

Check out our #joboffers 👉https://www.prbb.org/carrera.php#Ofertas-empleo

#BiomedicalInformatics #SystemsBiology
#GeneRegulation #Epigenetics #CellBiology #DevelopmentalBiology #Pharmacology

Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis - PubMed Retinal image analysis has enjoyed groundbreaking advances in the last ten years due to seismic improvements in image analysis techniques from the field of computer vision. Previous reviews in deep learning and artificial intelligence (AI) (Schmidt-Erfurth et al., 2018; Ting et al., 2019) have eithe …

Review by Wu Y, Lee CS, and Lee AY: Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis 🔗 pubmed.ncbi.nlm.nih.gov/41352580/

#ai #ml #aritificialintelligence #retinalimaging #medsky #biomedicalinformatics #medtwitter

Reporting from the MSBMI research seminar!

We’re joined by Apollo McOwiti, who is presenting: "Predictive Machine Learning Algorithm for Identifying Unwarranted Clinical Variation from Contextual Factors Derived from EHR Encounter Data" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC

QR code to access Springer Nature Biophysics Webinar Programme

⚛️ Come meet @springernature.com staff and editors at booth 205 in San Francisco for the 'Biophysical Society Meeting' and hear about new journal Advanced Metamaterials, the Biophysics Webinar Series, and much more! #BiomedicalInformatics

LLMs can make everyone an NLP expert- or can it?
Dr. Roberts believes accessibility is NOT the same as expertise. While people can do something, does that mean they really know how to do it correctly? #NLP #LLM #AI #BiomedicalInformatics #Informatics #UTHealth #MSBMI #TMC #Largelanguagemodel

Reporting from the MSBMI research seminar!

We’re joined by Kirk Roberts, PhD, MS, who is presenting: "The Rise of LLMs from an NLP Methodologist’s Perspective" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC

CM4AI PhD Researcher Clara Hu Named to Forbes 30 Under 30 in Science – BRIDGE2AI

We're excited to congratulate Clara Hu on being named to Forbes 30 Under 30 Science! Clara is a Biomedical Sciences PhD candidate at UCSD and Functional Genomics researcher for Bridge2AI 🌟 bridge2ai.org/2026/01/14/c...

#biomedicalinformatics #medsky #AI #ML #artificialintelligence #CM4AI

Join the #PRBBcommunity and realise your professional ambitions in an inspiring place💡🌟

Check out our #joboffers 👉https://www.prbb.org/carrera.php#Ofertas-empleo

#BiomedicalInformatics #SystemsBiology #GeneRegulation #Epigenetics #CellBiology #DevelopmentalBiology #Pharmacology #HumanGenetics

Reporting from the MSBMI research seminar!

We’re joined by Kirsten Ostherr, PhD, MPH, who is presenting: "Medical Humanities for Health AI" #MSBMI #AI #BiomedicalInformatics #Healthcare #UTHealth #TMC