Rejuvenate Biomed’s Post

How does your brain activity look when presented with different odours?   At IEEE Engineering in Medicine and Biology Society (EMBC) 2023, our researchers presented their research that uses #SignalProcessing and #MachineLearning techniques to identify reliable EEG biomarkers for odour identification and classification. This can lead to early detection of diseases like Parkinsons where patients often develop smell dysfunctionality. Know more in the #ResearchPaper here- https://bit.ly/3W4Aygu Inventors: Meghna Pandharipande; Upasana Tiwari; Rupayan C.; Sunil Kumar Kopparapu #Research #Publications #ML #Healthcare 

The future of biomedical science is full of bold goals and groundbreaking innovations. Aspen Ideas explores this exciting frontier with insights from leading experts in the field. Discover how advancements in genomics, precision medicine, and biotechnology are set to revolutionize healthcare, improving outcomes and extending lives. This collection highlights the visionary research and cutting-edge technologies shaping tomorrow’s medical landscape. Explore more about the transformative potential of biomedical science here: Bold Goals: The Biomedical Science of Tomorrow. #BiomedicalScience #Innovation #Healthcare #FutureOfMedicine #Genomics #PrecisionMedicine

📃Scientific paper: ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects Abstract: Simulators make unique benchmarks for causal effect estimation since they do not rely on unverifiable assumptions or the ability to intervene on real-world systems, but are often too simple to capture important aspects of real applications. We propose a simulator of Alzheimer's disease aimed at modeling intricacies of healthcare data while enabling benchmarking of causal effect and policy estimators. We fit the system to the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset and ground hand-crafted components in results from comparative treatment trials and observational treatment patterns. The simulator includes parameters which alter the nature and difficulty of the causal inference tasks, such as latent variables, effect heterogeneity, length of observed history, behavior policy and sample size. We use the simulator to compare estimators of average and conditional treatment effects. ;Comment: Machine Learning for Health (ML4H) - Extended Abstract Discover the rest of the scientific article on es/iode ➡️https://etcse.fr/W9P4 #alzheimer #science #health

Listen as Dr. John Catanzaro, CEO of Neo7Bioscience discusses the paradigm shift to personalized medicine and how research in space is advancing technology, check it out! https://lnkd.in/gd7RFZaG

As the landscape of healthcare and technology continues to evolve, clinical trials are undergoing significant transformations. In the latest trend report from @Sano Genetics, we explore the future of clinical trials, highlighting key trends that are revolutionising the research process and may lead to more efficient, inclusive, and patient-centric approaches to medical advancements. 🔮 Read it here. 👇 https://lnkd.in/eTbARucN #PrecisionMedicine #ClinicalTrials #MedicalResearch

AI can revolutionize medicine by enhancing drug development efficiency, accuracy and cost-effectiveness. Cure and The New York Academy of Sciences with Nicholas Dirks bring you a very special episode of Tuesday Talks with Seema Kumar with a panel of experts including George Church of Harvard Medical School, Maria Luisa Pineda, PhD. of Envisagenics, Grant W Mitchell, MD, MBA, of Every Cure and Thomas Fuchs of Icahn School of Medicine at Mount Sinai who will discuss AI's transformative role in bringing patients more effective treatments faster. #aiforgood #wewillcure

Cellular #microscopy discovery is set to open avenues in #metabolomic and clinical research Find out how here 🔗 https://bit.ly/3R6h87x