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“High-risk mothers in many parts of rural India are usually identified in the third trimester, which is around the eighth month of pregnancy. However, by this time, it’s often too late to manage complications before labour. This can lead to fatal outcomes,” says Senthil Kumar Murugesan.

An electronics and communications engineer by profession, Senthil is trying to bridge this gap with JioVio Healthcare, an IoT-based maternal healthcare startup that provides early-risk monitoring services at home.

He first encountered the pregnancy healthcare gap when his sister was pregnant in 2016. She is a career-driven woman and would miss her antenatal appointments due to the lack of time. Also, the… More.


Madurai’s Senthil Kumar started JioVio Healthcare, which provides early risk monitoring for pregnant women in rural India. So far, he has catered to 30 lakh women in Kerala, Maharashtra, Karnataka, and Tamil Nadu.

In America, roughly 40 million Americans have diabetes and about 95% of them have type 2 diabetes. Type 2 diabetes occurs when the body cannot correctly process sugar and fuel cells. More specifically, the body does not produce enough insulin to break down sugar into glucose for the cells to use. In this case, treatment includes insulin shots or a pump in addition to a strict diet excluding sweets or high fat meals. Treatment limitations disrupt patient quality of life. Some researchers have been working on better detection for diabetic retinopathy with artificial intelligence (AI), but research is limited on how to better detect diabetes itself. Thus, many researchers are working to detect diabetes early on and discover better treatments.

Klick labs, located in multiple cities across the world, is trying to detect type 2 diabetes by having a patient speak into a microphone for 10 seconds. Klick labs believes this technology can better detect diabetes and help patients get treatment earlier. The study was published in Mayo Clinic Proceedings: Digital Health, which details how patients spoke for 10 seconds and combined with health data, including age, sex, height, and weight, created an AI model that discerns whether a person has type 2 diabetes or not. After further tests, scientists determined it has 89% and 86% accuracy for women and men, respectively.

In the study, Klick Labs collected voice recordings of 267 people, either non-diabetic or diabetic. The participants were asked to record a phrase into their smartphones six times a day for a total of 2-weeks. Over 18,000 recordings were taken and analyzed to distinguish 14 acoustic features that helped distinguish non-diabetic to type 2 diabetic individuals. The research highlights specific vocal variations in pitch and intensity that could lead to how the medical community screens for early-onset diabetes. A major barrier to early detection includes time, travel, and cost, which many people do not have. Voice diagnosis can help eliminate those barriers and improve detection and treatment in diabetic patients.

Scientists have made remarkable progress in understanding the underlying changes that make cancer grow and have applied this knowledge to develop and guide targeted treatment approaches to vastly improve outcomes for people with many cancer types. And yet treatment progress for people with brain tumors known as gliomas—including the most aggressive glioblastomas—has remained slow. One reason is that doctors lack tests that reliably predict which among many therapeutic options will work best for a given tumor.

Now an NIH-funded team has developed a miniature device with the potential to change this for the approximately 25,000 people diagnosed with brain cancers in the U.S. each year [1]. When implanted into cancerous brain tissue during surgery, the rice-sized drug-releasing device can simultaneously conduct experiments to measure a tumor’s response to more than a dozen drugs or drug combinations. What’s more, a small clinical trial reported in Science Translational Medicine offers the first evidence in people with gliomas that these devices can safely offer unprecedented insight into tumor-specific drug responses [2].

These latest findings come from a Brigham and Women’s Hospital, Boston, team led by Pierpaolo Peruzzi and Oliver Jonas. They recognized that drug-screening studies conducted in cells or tissue samples in the lab too often failed to match what happens in people with gliomas undergoing cancer treatment. Wide variation within individual brain tumors also makes it hard to predict a tumor’s likely response to various treatment options.

For those with stubbornly resistant forms of severe depression, ketamine was looking more and more like a solution. Years of research has hinted at the dissociative anesthetic’s treatment potential where other medications failed, promising the benefits of electroshock therapy with far fewer risks.

For all of the excitement, separating the hope from the hype has been challenged by the drug’s strong psychoactive effects. How can you conduct a blind test for a drug that so overtly detaches the mind from the body?

By taking advantage of the unconscious state of patients under general anesthesia, researchers from Stanford University School of Medicine in the US put ketamine to the ultimate, gold standard test.

Having more pixels could advance everything from biomedical imaging to astronomical observations.

Researchers at the National Institute of Standards and Technology (NIST) and their colleagues have built a superconducting camera containing 400,000 pixels — 400 times more than any other device of its type.

Superconducting cameras allow scientists to capture very weak light signals, whether from distant objects in space or parts of the human brain. Having more pixels could open up many new applications in science and biomedical research.

“As sensors continue to evolve to be more skin-like, there is a need for robots to be smarter. Developments in sensors and artificial intelligence will need to go hand in hand”

Scientists at the University of British Columbia and Honda’s research institute have revealed the creation of a revolutionary soft sensor that mimics human skin in a press release. This highly sensitive, smart, and stretchable sensor is poised to reshape how machines interact with the world.

Offering a myriad of applications, the soft sensor takes cues from human skin in terms of both sensitivity and texture. It can make actions such as picking up a piece of soft fruit possible when applied to the surface of a prosthetic or robotic arm.

A new study from the University of Wisconsin–Madison suggests that chemotherapy may not be reaching its full potential, in part because researchers and doctors have long misunderstood how some of the most common cancer drugs actually ward off tumors.

For decades, researchers have believed that a class of drugs called microtubule poisons treat by halting mitosis, or the division of cells. Now, a team of University of Wisconsin–Madison scientists has found that in patients, microtubule poisons don’t actually stop from dividing. Instead, these drugs alter mitosis—sometimes enough to cause new cancer cells to die and the disease to regress.

Cancers grow and spread because divide and multiply indefinitely, unlike which are limited in the number of times they can split into new cells. The assumption that microtubule poisons stop cancer cells from dividing is based on demonstrating just that.

A meta-analysis showed improvement of neuropsychiatric symptoms with acetylcholinesterase inhibitors in Alzheimer disease and Parkinson disease, although effect sizes were small.


Neuropsychiatric symptoms are challenging to treat in patients with neurodegenerative conditions. In this meta-analysis, researchers investigated the effect of cholinesterase inhibitors (ChEI) on neuropsychiatric symptoms in those with Alzheimer disease (AD) or Parkinson disease (PD). Studies in the analysis included placebo-controlled, randomized clinical trials that included at least one ChEI — i.e., donepezil, rivastigmine, or galantamine — and applied at least one validated neuropsychiatric measure, with the Neuropsychiatric Inventory (NPI) being the most used measure studied. The primary outcomes were hallucinations and delusions. Secondary outcomes included all other neuropsychiatric outcomes.

Original participant data for 6,649 individuals with AD or PD from 17 trials were available for analysis out of 34 eligible trials. In patients with AD, ChEI use was associated with significantly fewer delusions (effect size, −0.08) and hallucinations (−0.09) compared with placebo. In the PD subgroup, ChEIs also were associated with significantly fewer delusions (−0.14) and hallucinations (−0.08). These effects did not differ among ChEI types. ChEIs were associated with lower appetite scores in the AD group and with significantly improved total neuropsychiatric scores in the PD group (−0.18). Increases in baseline neuropsychiatric scores were associated with greater effect size favoring ChEIs in those with PD. Lower baseline cognitive score was associated with increased effect size favoring ChEIs in both AD and PD.

Based on this meta-analysis, ChEIs could be considered in appropriate patients, since ChEIs may reduce hallucinations and delusions in people with AD or PD. Greater effects may be possible if neuropsychiatric symptoms or lower cognitive scores are present at the time of initiation. ChEIs decreased appetite scores in AD, which should be considered in those who are underweight. Whether ChEIs also improve neuropsychiatric symptoms in dementia with Lewy bodies requires further study, since data were insufficient to assess that population in this analysis.

A breakthrough in treating cervical cancer is reported, with participants in a recent trial achieving a five-year survival rate of 80% – up from the previous average of 70%. The study used a combination of existing, cheap drugs ahead of usual radiotherapy treatment.

Cervical cancer cell illustration. Credit: PRB ARTS

Phase III of the INTERLACE trial, funded by Cancer Research UK and University College London (UCL) Cancer Trials Centre, assessed whether a short course of induction chemotherapy (IC) prior to chemoradiation (CRT) could reduce the rate of relapse and death among patients with cervical cancer. Researchers involved in the study presented the preliminary results at the recent European Society for Medical Oncology (ESMO) congress.