Machine Learning: study of algorithms and statistical data. Used by computer systems to progressively improve their performance on a specific task.
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In recognition of Pancreatic Cancer Awareness Month, join us to explore how cutting-edge technologies are transforming our understanding of pancreatic ductal adenocarcinoma (PDAC), one of th...
Colorectal cancer (CRC) is the second-leading cause of cancer-related deaths in Europe and the U.S.—yet when detected early, the 5-year survival rate jumps to 91% . While colonoscopy r...
JUL 16, 2025 | 3:00 PM
C.E. CREDITS
Digital pathology has a crucial role in diagnostic pathology and is increasingly a technological requirement in the field. Integration of digital slides into the pathology workflow, advanced...
Personalized health profiling using multi-omics data has the potential to reveal immunometabolic disruptions among individuals living with HIV (PWH) who are effectively undergoing antiretrov...
Rapid developments in gene-modified cell therapies, especially CAR T-cell therapies, has increased demand for fast and reliable analytics methods for research, in-process development, and ma...
The discovery and optimization of antibodies, whether through traditional methods or with the assistance of artificial intelligence, necessitates rapid and reliable data generation. Here we...
In part 2 of this webinar, Dr. Emily Hodges, assistant professor of biochemistry at Vanderbilt University, will reveal new data that illustrates how the Hodges Lab is utilizing the 6-base ge...
Liquid biopsy next-generation sequencing (NGS) assays help guide treatment selection in cancer patients, particularly when tumor tissue is unavailable or during disease progression. Extensiv...
Gene therapy has experienced an increasing number of successful human clinical trials, leading to 6 FDA approved products using delivery vectors based on adeno-associated viruses (AAV). Thes...
SEP 25, 2024 | 7:00 AM
C.E. CREDITS
The cellular physiology of microbes can vary significantly within a population, even when exposed to identical external conditions. Recent theoretical and experimental studies have shown tha...
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell. Analysis...
The Molecular Twin is a proof-of-principle platform that combines data from several clinical and molecular analytes from both tumor and host and applies AI and machine learning approaches to...
Tandem repeats are hard to assess but important regions on the human genome. There are around 200 pathogenic and phenotypic tandem repeats, which are often ignored by standard analysis. Furt...
This talk will explore the integration of genomics with electronic health records (EHRs) in biobanks, emphasizing its potential to enhance women's health research. We'll delve into h...
Research and medical genomics require comprehensive and scalable solutions to drive the discovery of novel disease targets, evolutionary drivers, and genetic markers with clinical significan...