How can AI support clinical reasoning without sacrificing rigor, transparency, or patient safety? Join our online seminar for PhD students and professional researchers to explore how laboratory results, EHR data, and large language models can be combined to generate clinically plausible diagnostic hypotheses and patient-facing explanations. Through practical work with causal graphs, counterfactual evaluation, temporal data, reproducible pipelines, and clinically meaningful metrics, you’ll gain strategies for assessing model performance, robustness, and explanation fidelity—and for shaping findings into publishable research with translational impact. Attend live via Zoom or learn asynchronously: seminar recordings and materials, plus access to an expert-moderated Q&A forum, are available for 30 days after the seminar. Participants receive an official Instats certificate of completion. #ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Statistics #Bioinformatics #Research #ResearchTraining #Instats

Researchers have developed an ultrathin conductive film that connects electronic components without sacrificing stretchability or breathability, bringing wearable devices closer to a a second skin.

How can AI systems move from promising simulations to reliable real-world performance? Join Manish Chauhan from the University of York’s School of Physics, Engineering and Technology for a 3-hour interactive online seminar exploring the simulation-to-real gap. Designed for PhD students, postdoctoral researchers, and professional researchers in AI, biomedical engineering, robotics, and data science, this seminar examines statistical tools for diagnosing domain shift, modelling sensor noise, and improving robustness under hardware constraints and limited data. Explore Bayesian estimation and uncertainty quantification, work through a hands-on sensor-data case study, and bring your deployment challenges to a live Q&A clinic. Attend via Zoom or revisit the recordings and materials for 30 days afterward, with access to an expert-monitored Q&A forum during that period. An official Instats certificate of completion is included. Strengthen your research toolkit and build a more defensible evidence base for real-world AI deployment. #ArtificialIntelligence #BiomedicalEngineering #ComputerScience #DataScience #Engineering #Statistics #MATLAB #Python #Research #ResearchTraining #Instats

How can AI turn medical imaging data into scientifically credible and clinically meaningful research? Join Jamal Esmaily of the University of Cambridge for an online Instats seminar designed for PhD students, postdoctoral researchers, and professional researchers. Explore the workflow from dataset curation and reproducible preprocessing to radiomics, classical machine learning, deep learning, and multimodal prediction. With an emphasis on preventing data leakage, designing robust validation, and critically interpreting results, this seminar will help you make informed methodological choices and strengthen your own imaging research. Gain practical insight into Python-based workflows while developing approaches that support generalisability, interpretability, and publication-quality reporting. Attend live via Zoom or revisit the recordings and materials for 30 days after the seminar, with access to an expert-monitored Q&A forum throughout that period. An official Instats certificate of completion is included. #MachineLearning #Medicine #Statistics #DataScience #ComputerScience #BiomedicalEngineering #Biostatistics #Python #Research #ResearchTraining #Instats

On October 8, 1958, surgeon Åke Senning implanted the first fully implantable pacemaker, built by Rune Elmqvist, into patient Arne Larsson.