The Future of Healthcare with IoT
The application of the IoT in healthcare plays a fundamental role in managing chronic diseases and in disease prevention and control. Remote monitoring is made possible through the connection of powerful wireless solutions. The connectivity enables health practitioners to capture patient's data and applying complex algorithms in health data analysis.
The New Science of Metagenomics to Bioinformatics
The data generated by metagenomics experiments are both enormous and inherently noisy, containing fragmented data representing as many as 10,000 species. The sequencing of the cow rumen metagenome generated 279 gigabases, or 279 billion base pairs of nucleotide sequence data, while the human gut microbiome gene catalog identified 3.3 million genes assembled from 567.7 gigabases of sequence data. Collecting, curating, and extracting useful biological information from datasets of this size represent significant computational challenges for researchers.
Internet Of Healthcare Things: Changing The Landscape: Digital Health
Digital health has become popular in recent years with growing deployment of digital health platforms such as mobile health, telehealth, and other wireless solutions across hospitals and nursing homes so as to provide patients with real time healthcare services.
3D Printing In Healthcare: Where Are We In 2021 ?
The rapid proliferation of Covid-19 has been putting great strain on healthcare systems across the world, with demand for critical medical equipment and supplies mounting. Major manufacturers to individuals, have responded to the Covid-19 crisis by supporting the production of vital medical equipment for hospitals. 3D Systems, Carbon, and Renishaw have begun designing and manufacturing open-source PPE for healthcare workers worldwide.
Telehealth: IoT to Transform Healthcare World
Delivering healthcare via telehealth solutions could open up home monitoring of aged care patients with chronic diseases, improving health outcomes and significantly saving costs.
AI in Pharma: the Next Big Thing in Drug Discovery
The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs are applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. AI algorithms can also be used to analyze large amounts of data through electronic health records for disease prevention and diagnosis.
The Future of Artificial Intelligence in Healthcare
Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.
Robotics in Healthcare: The Future of Medical Care
In our study of the medical robots market is segmented into three major segments such as product, application, and end user. The product segment is divided into surgical robots, rehabilitation robots, non-invasive radiosurgery robots, hospital & pharmacy robots and others. The application segment consists of laparoscopy, neurology, orthopedics, gynecology, urology, cardiology and others. Similarly, the end user is classified as hospitals and ambulatory surgical centers.