Mayo Clinic Graduate School of Biomedical Sciences offers Ph.D., M.D.-Ph.D., and other biomedical research training programs in Minnesota, Arizona, and Florida.

Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph-based data models elucidate the interconnectedness betw...

We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the information from publi...

The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors has brought on new opportunities for applying both Deep and Spiking Neural Network (SNN) algorithms to healthcare an...

Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has p...

In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset that could be exploited with task-specific, fine-...

In this paper, we report a knowledge-based method for Word Sense Disambiguation in the domains of biomedical and clinical text. We combine word representations created on large corpora with a small nu...

This paper presents an output capacitor-less low-dropout regulator (LDO) with a bias switching scheme for biomedical applications with dual-range load currents. Power optimization is crucial for syste...

We contribute an in-depth analysis of the workflows and tensions arising from generative AI (genAI) use in biomedical visualization (BioMedVis). Although genAI affords facile production of aesthetic v...

Steven Chase uses brain-computer interfaces to study motor learning and skill acquisition. His work stands to provide a better understanding of how movement information is represented in networks of n...

Most methods for medical image segmentation use U-Net or its variants as they have been successful in most of the applications. After a detailed analysis of these "traditional" encoder-decoder based a...

Computer-assisted diagnostic and prognostic systems of the future should be capable of simultaneously processing multimodal data. Multimodal deep learning (MDL), which involves the integration of mult...

AI is the workhorse of modern data analytics and omnipresent across many sectors. Large Language Models and multi-modal foundation models are today capable of generating code, charts, visualizations, ...

Research in neuroscience and vision science relies heavily on careful measurements of animal subject's gaze direction. Rodents are the most widely studied animal subjects for such research because of ...

Steve Chase, PhD Professor Neuroscience Institute and Biomedical Engineering, CMU CV Scholar Video summary Phone: (412) 268-5512, Email: schase (at) cmu.edu

Andrew; Lau, Chuck; Tanno, Ryutaro (26 July 2023). "Towards Generalist Biomedical AI". arXiv:2307.14334 [cs.CL]. Zvyagin, Maxim; Brace, Alexander; Hippe

Scizzle are targeted towards biomedical sciences and solely recommend academic journal papers. List of academic databases and search engines "Sparrho's technology

Down 78 percent this year Bullfrog AI applies machine learning to biomedical and clinical trial data. Too much competition not enough money to go around. However Bullfrog does have a niche, and an e...

Exploring the genetic basis of heritable traits remains one of the central challenges in biomedical research. In simple cases, single polymorphic loci explain a significant fraction of the phenotype v...

Mayo Clinic College of Medicine and Science offers more than 400 medical, surgical, health sciences, and biomedical research training programs at locations across Minnesota, Arizona, Florida, and Wisc...