Nicolas Babin disruptive week about Artificial Intelligence – October 5th 2020

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks.
Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today’s life. I will also comment on the articles.

On thelancet.com: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30192-8/fulltext

Artificial intelligence in COVID-19 drug repurposing.
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this review, guidelines are introduced on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary.

On Eurekalert.org: https://www.eurekalert.org/pub_releases/2020-09/cl-nrf091820.php

What are the new roles for clinicians in the age of artificial intelligence (AI). With the rapid developments of digital picture processing, pattern recognition, and intelligent algorithms, artificial intelligence (AI) applications are now widely used in medicine. Applications of artificial intelligence in medicine (AIM) include diagnosis generation, therapy selection, healthcare management and disease stratification. AIM focuses on assisting clinicians in disease detection, quantitative measurements, and differential diagnosis which improves diagnostic accuracy and optimizes treatment selection.

On healthitanalytics.com: https://healthitanalytics.com/features/applying-artificial-intelligence-to-chronic-disease-management.

Applying Artificial Intelligence to Chronic Disease Management. Artificial intelligence tools can help providers navigate the complexities of chronic disease management, leading to more effective, quality treatments.

On Nasdaq.com: https://www.nasdaq.com/articles/baidu-reveals-4-new-artificial-intelligence-technologies-2020-09-18

Baidu Reveals 4 New Artificial Intelligence Technologies. Baidu
recently hosted its annual Baidu World Conference in Beijing to showcase its latest technologies. The theme of this year’s conference was the “Intelligence of Everything,” with a heavy emphasis on artificial intelligence (AI) technologies in cars, wearables, and other connected devices.

On nextgov.com: https://www.nextgov.com/emerging-tech/2020/09/artificial-intelligence-commission-pushes-new-programs-recruit-tech-savvy-talent-dod/168584/

Adopting emerging technologies will also need a top-down push and restructured leadership, according to National Security Commission on Artificial Intelligence recommendations.
The National Security Commission on Artificial Intelligence called for the creation of two new talent initiatives that would help “fundamentally re-imagine” the way the federal government builds its digital workforce in Congressional testimony Tuesday. 

On techhq.com: https://techhq.com/2020/09/ai-diagnoses-alzheimers-with-more-than-95-accuracy/

AI diagnoses Alzheimer’s with more than 95% accuracy. The AI algorithm learns to spot differences between sentences composed by those with and without Alzheimer’s – it’s pretty accurate.

On zdnet.com: https://www.zdnet.com/article/peoples-notions-about-ai-are-terrible-an-mit-study-asks-whether-they-can-be-helped/

People’s notions about AI are terrible, an MIT study asks whether they can be helped. Mistaken notions of AI agency could be helped by hands-on learning, argues MIT scholar Ziv Epstein.