Data Science for COVID-19 Volume 1: Computational Perspectives

Deep Learning for Medical Applications with Unique Data

Bad Blood: Secrets and Lies in a Silicon Valley Startup

Interpretable Cognitive Internet of Things for Healthcare

Principles and Labs for Deep Learning

The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Health Care

Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI)

The Next 500 Years: Engineering Life to Reach New Worlds

CMOS Capacitive Sensors for Lab-on-Chip Applications: A Multidisciplinary Approach

Computational Modeling Applications for Climate Crisis

Explainable Artificial Intelligence for Biomedical Applications

Progenitor and Stem Cell Technologies and Therapies

Applications of Big Data in Healthcare: Theory and Practice

Extra Corporeal Membrane Oxygenator Technical Compendium

Explainable Machine Learning for Multimedia Based Healthcare Applications

Principles of Tissue Engineering: Edition 4

BioMEMS: Science and Engineering Perspectives