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The human microbiome—our own personalized bacteria profile—plays a part in our health. The different parts of our body, from our skin to our gut, each have their own microbial profile. A team of researchers decided to explore the bacteria living inside our nose, publishing this week in the journal Cell Reports. Microbiologist Sarah Lebeer, one of the authors of the study, discusses what beneficial bacteria reside in our nose—and how this could be used to create a probiotic for upper respiratory infections.


A team of researchers created a profile of the nose microbiome to help create future probiotics for upper respiratory infections.

Moderna, Inc.’s COVID-19 vaccine candidate mRNA-1273 will advance to a 30,000-participant Phase III trial later this month, following publication of additional positive Phase I data from a study led by the National Institutes of Health (NIH)’s National Institute of Allergy and Infectious Diseases (NIAID).


Moderna said its closely-watched COVID-19 vaccine candidate mRNA-1273 will advance to a 30,000-participant Phase III trial later this month, following publication of additional positive Phase I data from a study led by the NIH’s National Institute of Allergy and Infectious Diseases (NIAID).

The Phase III “COVE” study (NCT04470427) is expected to begin registration at study centers nationwide beginning on July 21 with study initiation set for six days later. The primary endpoint of the randomized, 1:1 placebo-controlled trial will be the prevention of symptomatic COVID-19 disease. Key secondary endpoints include prevention of severe COVID-19 disease as defined by the need for hospitalization, and prevention of infection by SARS-CoV-2, Moderna said.

Moderna disclosed plans for the Phase III trial on Clinicaltrials.gov the same day that researchers from NIAID, Moderna, and their clinical research partners reported that mRNA-1273 induced rapid and strong immune responses against SARS-CoV-2, in an interim analysis of results from their Phase I study (NCT04283461).

No industry will be spared.


The pharmaceutical business is perhaps the only industry on the planet, where to get the product from idea to market the company needs to spend about a decade, several billion dollars, and there is about 90% chance of failure. It is very different from the IT business, where only the paranoid survive but a business where executives need to plan decades ahead and execute. So when the revolution in artificial intelligence fueled by credible advances in deep learning hit in 2013–2014, the pharmaceutical industry executives got interested but did not immediately jump on the bandwagon. Many pharmaceutical companies started investing heavily in internal data science R&D but without a coordinated strategy it looked more like re-branding exercise with the many heads of data science, digital, and AI in one organization and often in one department. And while some of the pharmaceutical companies invested in AI startups no sizable acquisitions were made to date. Most discussions with AI startups started with “show me a clinical asset in Phase III where you identified a target and generated a molecule using AI?” or “how are you different from a myriad of other AI startups?” often coming from the newly-minted heads of data science strategy who, in theory, need to know the market.

However, some of the pharmaceutical companies managed to demonstrate very impressive results in the individual segments of drug discovery and development. For example, around 2018 AstraZeneca started publishing in generative chemistry and by 2019 published several impressive papers that were noticed by the community. Several other pharmaceutical companies demonstrated impressive internal modules and Eli Lilly built an impressive AI-powered robotics lab in cooperation with a startup.

However, it was not possible to get a comprehensive overview and comparison of the major pharmaceutical companies that claimed to be doing AI research and utilizing big data in preclinical and clinical development until now. On June 15th, one article titled “The upside of being a digital pharma player” got accepted and quietly went online in a reputable peer-reviewed industry journal Drug Discovery Today. I got notified about the article by Google Scholar because it referenced several of our papers. I was about to discard the article as just another industry perspective but then I looked at the author list and saw a group of heavy-hitting academics, industry executives, and consultants: Alexander Schuhmacher from Reutlingen University, Alexander Gatto from Sony, Markus Hinder from Novartis, Michael Kuss from PricewaterhouseCoopers, and Oliver Gassmann from University of St. Gallen.

British Health Minister Matt Hancock said that the government would not recommend that office workers wear face masks while at work.

“We will not be recommending masks in the office,” Hancock told Sky News on Wednesday.

Nearly a dozen Indian states have imposed a partial lockdown in high-risk areas after spikes in coronavirus cases, with the country’s infections topping 900,000 just three days after crossing the 800,000 mark.

🤔

It’s not yet clear why some people infected with SARS-CoV-2, the virus that causes COVID-19, get really sick, while others have only mild symptoms. There’s some evidence that chronic health conditions—such as hypertension and diabetes can play a role, and scientists know that people’s genes can influence how their bodies react to other viruses. In a preprint posted to medRxiv on June 2, researchers describe a genome-wide association study (GWAS) of from 1,610 hospitalized patients with COVID-19 and 2,205 healthy controls. The authors identified variants in two regions—the locus that encodes blood type and a multi-gene cluster on chromosome 3—that were linked to respiratory failure during SARS-CoV-2 infection.


In a genome-wide association study, variants in both the ABO blood group locus and a cluster of genes on human chromosome 3 are more common among COVID-19 patients with respiratory failure than in the general population.

One day, people could monitor their own health conditions by simply picking up a pencil and drawing a bioelectronic device on their skin. In a new study, University of Missouri engineers demonstrated that the simple combination of pencils and paper could be used to create devices that might be used to monitor personal health.

Their findings are published in the journal Proceedings of the National Academy of Sciences.

Zheng Yan, an assistant professor in the College of Engineering, said many existing commercial on-skin often contain two major components—a biomedical tracking component and a surrounding flexible material, such as plastic, to provide a supportive structure for the component to maintain an on-skin connection with a person’s body.

Very true.


And as in most applications of #MachineLearning, healthcare #AI systems are extremely data-hungry.

Fortunately, a slew of new sensors and data acquisition methods — including over 302 million wearables shipped in 2019 — are bursting onto the scene to meet the massive demand for medical data.

From ubiquitous biosensors, to the mobile healthcare revolution, to the transformative power of the Health Nucleus and their 100+ program, converging exponential technologies are fundamentally transforming our approach to #healthcare.

This my sleep was about the same as the previous week. I had great energy throughout the week when going through my exercise routines.

Sunday-6/28- Biked 48 km. 1 hour Yin Yoga. Stem Cell Neurotherapy 1 hour. 7 hours of sleep.

Monday-6/29- Biked 9 km. 1 hour Power Vinyasa Yoga. Swam 12 laps. 4/8 breathing*10. Stem Cell Neurotherapy 1 hour. 8.5 hours of sleep. Felt great today!

Tuesday-6/30- Biked 11 km. 15 Minutes Yoga for the side body, 15 minutes Yoga Standing forward folds, 5 Minute Handstand practice. 4/8 breathing*10. Stem Cell Neurotherapy 1 hour. 6 Hours of sleep. Tired for the first part of the day until I went biking.