Antibiotics use in Africa: Machine learning vs. magic medicine
"I was surprised myself recently when we had a child in the consultation room and I thought 'This looks like a bacterial infection,'" recalls Godfrey
WHO reports; how can Artificial Intelligence hold great promise for improving healthcare and medicine delivery worldwide?
According to the World Health Organization, artificial intelligence (AI) holds great promise for improving healthcare and medicine delivery worldwide, but only if ethics and human
The role of artificial intelligence in the fight against Covid-19
In early January of 2020, the US Centers for Disease Control and Prevention issued its first warnings about the potential spread of a flu-like pandemic.
Artificial Intelligence for Rapid Exclusion of COVID-19 Infection
rtificial intelligence (AI) may offer a way to accurately determine that a person is not infected with COVID-19. An international retrospective study finds that infection
Experts Weigh In: Pros and Cons of Machine Learning for AI Security
Artificial intelligence (AI) in cybersecurity was a popular topic at RSA’s virtual conference this year, with good reason. Many tools rely on AI, using it
Machine learning-based microstructure prediction during laser sintering of alumina
Scientific Reports, Published online: 21 May 2021; doi:10.1038/s41598-021-89816-xPredicting material’s microstructure under new processing conditions is essential in advanced manufacturing and materials science. This is because
How AI may hold the key to faster rare disease diagnosis
Leveraging artificial intelligence can shave years off the difficult process of diagnosing a rare disease. By safely sharing patient data, more will benefit globally.Source: How
Rise Of Artificial Intelligence In Healthcare Sector
As we turn the corner on 2020, we find ourselves in the midst of the worst pandemic in a Century and our health care systems
AI: Facilitating And Transforming Drug Development
Artificial Intelligence plays a vital role in drug discovery, from target selection to clinical trials with minimum-labor and maximum efficiency. Artificial intelligence has been an
AI offers promise but faces barriers in drug development
Inertia is a barrier as is the traditional split between the clinical and the data-driven spheres of drug development. While smaller firms have an edge