Susan Gregurick

www.jci.org/articles/vie... 🧪. Great review evaluating the translational evidence of GLP-1RAs as candidate disease-modifying therapies for NDDs, including mechanistic pathways linking metabolic dysfunction to neuronal vulnerability, and outlining remaining challenges.

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Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy - npj Digital Medicine npj Digital Medicine - Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy

www.nature.com/articles/s41...

Supported by our office this work
combines deep, convolutional neural network training to detect microneuromas with an uncertainty quantification mechanism that allows the model to communicate when it is unsure about a given image.

Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge AbstractObjectives. The success of artificial intelligence (AI) and machine learning (ML) approaches in biomedical research depends on the quality of the u

Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge url: academic.oup.com/jamia/articl... 🧪. happy to have supported the Data Centric Challenge

Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes Abstract. The Complex Portal (www.ebi.ac.uk/complexportal) is a manually curated reference database for molecular complexes. It is a unifying web resource

academic.oup.com/nar/article/.... 🧪. Supported by my office The Complex Portal (www.ebi.ac.uk/complexportal) (1) serves as a unifying resource, linking information on protein complexes across multiple resources by providing summaries of the molecular composition, topology (when known) and function

www.nature.com/articles/s41... in press release includes annotations and a detailed analysis of segmentations of diseased plants. Great resource

My linocut of Russian chemist Dmitri Mendeleev from shoulders up in a gradient of bright mint green at the bottom through navy to darkest blue-black at the top. He wears a suit with bow tie and a heavy bushy beard. The shape of the modern periodic table is carved into his chest as blank squares, and the elements he knew are indicated by their symbols. Those he included but not quite in the right place (because contemporary observations were still inconclusive) are indicated in pink). The blank squares were as-of-yet not discovered or isolated elements.

Happy birthday to Russian #chemist Dmitri Mendeleev (1834 – 1907) who published the periodic table. 🧪🐡 #histsci Born in Siberia, the youngest child of a large family, his father was a school principal until he lost his sight & job. His mother then restarted her family’s abandoned glass factory 🧵

ABSEIL: A Polypeptide Helicity and Ensemble Prediction Tool Nascent helicity in polypeptides and unfolded proteins arises from local structure formation and represents one of the earliest events in a protein fo…

www.sciencedirect.com/science/arti.... 🧪 tool to predict polypeptide helicity from amino acid sequence. Also training data available. Nice.

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling - Nature Genetics Genome-wide association meta-analysis identifies 58 independent risk loci for major anxiety disorders among individuals of European ancestry and implicates GABAergic signaling as a potential mechanism...

www.nature.com/articles/s41... 🧪. Impressive GWAS meta-analysis from the Anxiety Disorders Working Group of the Psychiatric Genomics Consortium

Inhibitory probes for spatiotemporal analysis of Gαs protein signaling - Nature Chemical Biology Broadly applicable genetically encoded probes and peptide-based compounds specifically inhibit Gαs, the prototypical signal transducer of G-protein-coupled receptors, providing new mechanistic insight...

www.nature.com/articles/s41... 🧪. Exciting work on spatiotemporal modulation of Gs signaling

A flexible digital compute-in-memory chip for edge intelligence - Nature A flexible digital artificial intelligence chip with a compute-in-memory architecture is fabricated using a commercial low-temperature polycrystalline silicon thin-film transistor process and shows hi...

www.nature.com/articles/s41... 🧪. Looks pretty amazing.

Advancing regulatory variant effect prediction with AlphaGenome - Nature AlphaGenome, a deep learning model that inputs 1-Mb DNA sequence to predict functional genomic tracks at single-base resolution across diverse modalities, outperforms existing models in variant effect...

www.nature.com/articles/s41... 🧪. DeepMind AlphaGenome, trained on 1 Mb of DNA sequence from human and mouse and predicts thousands of functional genomic tracks including gene expression, transcription initiation, chromatin accessibility, histone modifications, transcription factor binding etc

Shaping the Future of Evidence Generation: Real-World Data to Drive Healthcare Transformation and Patient-Centered Decisions - Pharmaceutical Medicine The increasing complexity of healthcare decision making and the demand for real-world evidence call for a transformation in how Medical Affairs departments generate and communicate evidence. In respon...

link.springer.com/article/10.1... would like to see more on the implementation of the framework.

A filamentary soft robotic probe for multimodal in utero monitoring of fetal health - Nature Biomedical Engineering A soft robotic probe enables continuous in utero monitoring of fetal physiological parameters, including heart rate, blood oxygen saturation, temperature and electrocardiogram data, during open or fet...

www.nature.com/articles/s41...
🧪. Very cool

Temperature‐Dependent Chain Structures during Solution‐Grown Crystallization via Atomic Force Microscopy AFM-based single-molecule force spectroscopy was employed to investigate temperature-dependent single-chain folding structures of semi-crystalline PEO. Force–volume measurements enabled correlation o...

Temperature‐Dependent Chain Structures during Solution‐Grown Crystallization via Atomic Force Microscopy - Wang - Macromolecular Rapid Communications - Wiley Online Library onlinelibrary.wiley.com/doi/10.1002/...
🧪. Neat study of crystallization and polymer chain folding.

2026 Guideline for the Early Management of Patients With Acute Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association | Stroke AIM: The “2026 Guideline for the Early Management of Patients With AIS” replaces the “2018 Guidelines for the Early Management of Patients With AIS” and the 2019 update to reflect recent advances in e...

www.ahajournals.org/doi/10.1161/...
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SAIGE-GPU — Accelerating Genome- and Phenome-Wide Association Studies using GPUs AbstractMotivation. Genome-wide association studies (GWAS) at biobank scale are computationally intensive, especially for admixed populations requiring rob

SAIGE-GPU — Accelerating Genome- and Phenome-Wide Association Studies using GPUs url: academic.oup.com/bioinformati... 🧪 really good news for biomedical researchers using NIH STRIDES clouds.

Holistic evaluation of large language models for medical tasks with MedHELM - Nature Medicine MedHELM, an extensible evaluation framework including a new taxonomy for classifying medical tasks and a benchmark of many datasets across these categories, enables the evaluation of large language mo...

www.nature.com/articles/s41.... Awesome work

Mental Disorders as a Risk Factor of Acute Coronary Syndrome This systematic review and meta-analysis investigates the association between mental disorders and acute coronary syndrome.

Mental Disorders as a Risk Factor of Acute Coronary Syndrome url: jamanetwork.com/journals/jam.... 🧪 interesting meta analysis indicates PTSD and sleep disorders emerged as significant risk factors for ACS

Exciting study just out 🧪

www.cell.com/hgg-advances...

Immune cell response to spinal cord injury in a zebrafish larva. Credit to @beckergroup.bsky.social. #ZebrafishZunday 🧪

Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations Abstract. Identifying the potential oligogenic causes of rare diseases remains a challenge, notwithstanding the advancements made in the last decade. While

academic.oup.com/bib/article/.... 🧪. Work illustrates knowledge graphs gene–gene interactions within oligogenic combinations. Very thoughtful study.

Uncovering regional atrophy not explained by tau deposition using Additional Pathology Inference (AddiPath) Background Mixed pathology is prevalent in Alzheimer's disease (AD) but difficult to detect in vivo as biomarkers for several additional pathologies are in their infancy. Cortical thickness (CT) atr...

Uncovering regional atrophy not explained by tau deposition using Additional Pathology Inference (AddiPath) - Binding - 2025 - Alzheimer's & Dementia - Wiley Online Library alz-journals.onlinelibrary.wiley.com/doi/10.1002/... 🧪

A minimally invasive dried blood spot biomarker test for the detection of Alzheimer’s disease pathology - Nature Medicine This multicenter study demonstrates use of dried and capillary blood as a minimally invasive, scalable approach for Alzheimer’s biomarker testing in research, with potential as a widely scalable popul...

www.nature.com/articles/s41.... This is exciting illustrating feasibility of remote biomarker assessment using capillary blood, obtained by fingerstick collection

OMG! A proteomic determinant of neurodegenerative resiliency - PubMed Our findings implicate OMG as a mechanistic determinant of neurodegenerative resiliency among older adults, which is reliably captured by its abundance in peripheral circulation.

pubmed.ncbi.nlm.nih.gov/41491993/%F0...

pubs.acs.org/doi/10.1021/....

DEDUCE: statistical inference on disease-associated genes uncovers tissue–disease associations Abstract. Accurate identification of affected tissues of human diseases is important for the derivation of disease etiology and the development of new trea

academic.oup.com/nargab/artic.... Neat. Authors integrate disease-association information from DisGeNET and tissue-specific gene expression data from GTEx to identify key tissues involved in complex diseases.

The Right Person, the Right Treatment, at the Right Time in Alzheimer's Disease: Insights From the 2025 Brain Aging Symposium The Brain Aging Symposium highlighted how early detection and longitudinal tracking, enabled by multimodal biomarker integration, reveal critical roles for lipid metabolism, sex differences, and popu...

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doi.org/10.1111/acel.... The paper from the October 22nd, 2025 Brain Aging Symposium is out!

Informative Co‐Data Learning for High‐Dimensional Horseshoe Regression High-dimensional data often arise from clinical genomics research to infer relevant predictors of a particular trait. A way to improve the predictive performance is by incorporating information about...

Informative Co‐Data Learning for High‐Dimensional Horseshoe Regression - Busatto - 2026 - Biometrical Journal - Wiley Online Library onlinelibrary.wiley.com/doi/10.1002/...

www.nature.com/articles/s41.... Interesting article 🧪