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The enormous impact of the recent COVID-19 pandemic, together with other diseases or chronic health risks, has significantly prompted the development and application of bioelectronics and medical devices for real-time monitoring and diagnosing health status. Among all these devices, smart contact lenses attract extensive interests due to their capability of directly monitoring physiological and ambient information. Smart contact lenses equipped with high sensitivity sensors would open the possibility of a non-invasive method to continuously detect biomarkers in tears. They could also be equipped with application-specific integrated circuit chips to further enrich their functionality to obtain, process and transmit physiological properties, manage illnesses and health risks, and finally promote health and wellbeing. Despite significant efforts, previous demonstrations still need multistep integration processes with limited detection sensitivity and mechanical biocompatibility.

Recently, researchers from the University of Surrey, National Physical Laboratory (NPL), Harvard University, University of Science and Technology of China, Zhejiang University Ningbo Research Institute, etc. have developed a multifunctional ultrathin contact sensor system. The sensor systems contain a photodetector for receiving optical information, imaging and vision assistance, a temperature sensor for diagnosing potential corneal disease, and a glucose sensor for monitoring glucose level directly from the tear fluid.

Dr. Yunlong Zhao, Lecturer in Energy Storage and Bioelectronics at the Advanced Technology Institute (ATI), University of Surrey and Senior Research Scientist at the UK National Physical Laboratory (NPL), who led this research stated, “These results provide not only a novel and easy-to-make method for manufacturing advanced smart contact lenses but also a novel insight of designing other multifunctional electronics for Internet of Things, , etc.” Dr. Zhao added, “our ultrathin transistors-based serpentine mesh sensor system and fabrication strategy allow for further incorporation of other functional components, such as electrode array for electrophysiology, antennas for wireless communication, and the power modules, e.g. thin-film batteries and enzymatic biofuel cell for future in vivo exploration and practical application. Our research team at ATI, University of Surrey and NPL are currently working on these fields.”

When taken orally or intravenously, medications typically travel throughout the body, producing unwanted side effects. MIT scientists are working on an alternative, that delivers both light and a light-activated drug directly to the target area.

So-called “photoswitchable” drugs contain light-sensitive molecules that essentially switch the drug on when exposed to a flash of light. This means that a pharmaceutical could remain inactive when moving through the bloodstream or digestive tract, only becoming active once it reached the place it was needed. As a result, few if any side effects would occur.

That said, how could a flash of light be delivered precisely to the target area, right when the drug was present at that location? Well, that’s where a device developed by the MIT researchers comes into play.

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

The intent of this work is to speed up repurposing, which is not a new concept—think Botox injections, first approved to treat crossed eyes and now a migraine treatment and top cosmetic strategy to reduce the appearance of wrinkles.

But getting to those new uses typically involves a mix of serendipity and time-consuming and expensive randomized to ensure that a drug deemed effective for one disorder will be useful as a treatment for something else.

Proteins are essential to cells, carrying out complex tasks and catalyzing chemical reactions. Scientists and engineers have long sought to harness this power by designing artificial proteins that can perform new tasks, like treat disease, capture carbon or harvest energy, but many of the processes designed to create such proteins are slow and complex, with a high failure rate.

In a breakthrough that could have implications across the healthcare, agriculture, and energy sectors, a team lead by researchers in the Pritzker School of Molecular Engineering at the University of Chicago has developed an artificial intelligence-led process that uses big data to design new proteins.

By developing machine-learning models that can review protein information culled from genome databases, the researchers found relatively simple design rules for building artificial proteins. When the team constructed these artificial proteins in the lab, they found that they performed chemical processes so well that they rivaled those found in nature.

The world is far from perfect, and 2020 did throw the proverbial spanner is the works, but the improvements we have made are not to be ignored!!

We are winning…


I will review the lesser shared news the world is not as bad as you might have been led to believe, even if it is not yet perfect.
I will show the signs and discuss the reasons the world is better than ever before, and why it is better than you thinks…probably.

We will come to see that life is better now than in the past and the world is still improving.

Disagree, feel free to leave your thoughts with relevant data to back up your comments smile

0.26 — Optimism about future improvements in global living conditions.
0.45 — Public perception of the change in global extreme poverty.
1.11 — Share of people who expect the world will be better off in the future.
1.52 — Eradicating extreme poverty & hunger.
2.31 — Reducing child mortality.
3.15 — Combating malaria.
4.15 — Reducing deaths in war.
5.12 — Increasing literacy and universal primary education.
6.08 — The world as 100 people.
7.17 — World population in 2018
7.28 — Life expectancy change 1543 to 2015
7.33 — Causes of death.
7.48 — Real GDP per capita 1950 to 2017
8.36 — Coronavirus.
9.26 — Great scientific minds.

SANTIAGO (Reuters) — The coronavirus has landed in Antarctica, the last continent previously free from COVID-19, Chile’s military said this week, as health and army officials scrambled to clear out and quarantine staff from a remote research station surrounded by ocean and icebergs.

We think our approach — which is backed up by several techniques, including single-cell RNA-sequencing analysis — is a significant step toward bringing SSC therapy into the clinic, Miles Wilkinson, an obstetrics, gynecology, and reproductive sciences researcher at the University of California, San Diego School of Medicine, said in a press release.

SSCs can generate more stem cells and as many as 1, 000 sperm every couple of seconds — but until this new study, published Monday in the journal PNAS, scientists were unable to differentiate and isolate SSCs from other, similar cells in the testicles.

Next, our main goal is to learn how to maintain and expand human SSCs longer so they might be clinically useful, Wilkinson said in the release.

Unmanned Aerial Vehicles (UAV), commonly referred to as drones, may prove to be a valuable tool in the battle against pandemics like COVID-19. Researchers at the University of Calgary, the Southern Alberta Institute of Technology (SAIT), Alberta Health Services (AHS) and Alberta Precision Laboratories (APL) are partnering with the Stoney Nakoda Nations (SNN) to deliver medical equipment and test kits for COVID-19 to remote areas, and to connect these communities to laboratories more quickly using these remotely piloted aircraft.

Access for all

“We know that testing for COVID-19 is one of our most effective tools against its spread. Many remote communities in Canada do not have easy access to testing centres and medical supplies to support rapid testing and containment. Drones can help us respond to that need,” says Dr. John Conly, MD, medical director of the W21C Research and Innovation Centre at the Cumming School of Medicine (CSM) and co-principal investigator on the project.