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Produktbild: Artificial Intelligence and Machine Learning in Genomics and Precision Medicine
Band 1527 Vorbesteller

Artificial Intelligence and Machine Learning in Genomics and Precision Medicine

Aus der Reihe Advances in Experimental Medicine and Biology

235,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.12.2026

Abbildungen

IV, 395 p. 47 illus. in color.

Herausgeber

Nalini Raghavachari + weitere

Verlag

Springer

Seitenzahl

395

Maße (B/H)

17,8/25,4 cm

Sprache

Englisch

ISBN

978-3-032-41275-1

Beschreibung

Portrait

Dr. Nalini Raghavachari, is currently a Program Director at the National Institute on Aging (NIA/NIH) in Bethesda, Maryland focusing primarily on the genetics and genomics of exceptional longevity, healthy aging, integrative multi-omic analyses and translational genomics. She has initiated research programs in NIA on transformative AI/ML strategies in big data analyses for target identifications and drug discovery to enhance health and life span. Nalini Raghavachari received her Ph. D in Biochemistry studying lipid metabolism in coronary heart disease and has had her initial post-doctoral training in a Genetic Engineering Laboratory in Las Cruces, NM followed by Baylor College of Medicine and Texas A& M University in the field of genetics and genomics. She then applied her skills in genomics for drug discovery in a startup biopharmaceutical company, Procertus Biopharma to prevent chemotherapy induced alopecia and in Corning Life Technologies for the development of microarray based novel genomic and proteomic tools. She began her NIH career at the Clinical Center in 2003 as the Director of the Sickle Cell Genomics Program in the Critical Care Medicine Department. She then took up a dual appointment with the intramural division of the National Heart, Lung and Blood Institute in 2005 as director of the Genomics Core Facility and served as an associate investigator in human genetic studies on vascular diseases, including the Framingham Heart Study, to identify disease mechanisms, predictive biomarkers, and therapeutic drug targets. Dr. Raghavachari's research interests center on integrating biochemistry, genetics, genomics, and translational science with innovative computational and AI-driven approaches to advance precision medicine and improve human health.

Zeeshan Ahmed

Dr. Zeeshan Ahmed is currently serving as an Assistant Professor at the Department of Medicine, Robert Wood Johnson Medical School, and a Core Faculty Member at the Institute for Health, Health Care Policy and Aging Research, Rutgers Health, NJ, USA. He is driven towards the advancements in precision medicine with Artificial Intelligence (AI)-enabled screening, diagnostics, treatment monitoring, and decision making. Dr. Ahmed received his Ph.D./D.Sc. in Bioinformatics with "Magna Cum Laude" from the University of Wuerzburg Germany. During his post-doctoral research training, he has been affiliated with UMass Chan Medical School, The Jackson Laboratory, and UConn Health. Dr. Ahmed has produced more than 100 peer-reviewed publications as the first/last corresponding author, including articles published in impactful scientific journals, books, conference proceedings, as well as edited many books and journal collections. Furthermore, he has delivered more than 75 talks at national and international events, and received multiple recognitions. Dr. Ahmed’s long-term goal is to advance our ability from a "one-size-fits-all" approach to personalized and predictive healthcare, and this book is one of the steppingstones in this direction.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

03.12.2026

Abbildungen

IV, 395 p. 47 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

395

Maße (B/H)

17,8/25,4 cm

Sprache

Englisch

ISBN

978-3-032-41275-1

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Artificial Intelligence and Machine Learning in Genomics and Precision Medicine

  •  Introduction to Precision Medicine.- Introduction to AI.- AI ML in Genomics Proteomics and Multi omic Analyses.- AI in Drug Discovery and Development.- AI in Personalized Medicine.- Challenges and Regulatory and Ethical Considerations.- Future Directions and Innovations in Clinical Practice.