“Robotic” textiles could help performers and athletes train their breathing, and potentially help patients recovering from post-surgery breathing changes.
A new kind of fiber developed by researchers at MIT and in Sweden can be made into clothing that senses how much it is being stretched or compressed, and then provides immediate tactile feedback in the form of pressure, lateral stretch, or vibration. Such fabrics, the team suggests, could be used in garments that help train singers or athletes to better control their breathing, or those help patients recovering from disease or surgery to recover their breathing patterns.
Artificial intelligence is transforming industries around the world — and health care is no exception. A recent Mayo Clinic study found that AI-enhanced electrocardiograms (ECGs) have the potential to save lives by speeding diagnosis and treatment in patients with heart failure who are seen in the emergency room.
A dedicated practitioner, Adedinsewo is a Mayo Clinic Florida Women’s Health Scholar and director of research for the Cardiovascular Disease Fellowship program. Her clinical research interests include cardiovascular disease prevention, women’s heart health, cardiovascular health disparities, and the use of digital tools in cardiovascular disease management.
Exercise leaves muscles riddled with microscopic tears, so after a rigorous workout, the control centers of muscle cells — called nuclei — scoot toward these tiny injuries to help patch them up, scientists recently discovered.
In the new study, published Oct. 14 in the journal Science, researchers uncovered a previously unknown repair mechanism that kicks in after a run on the treadmill. Striking images show how, shortly after the exercise concludes, nuclei scuttle toward tears in the muscle fibers and issue commands for new proteins to be built, in order to seal the wounds. That same process likely unfolds in your own cells in the hours after you return home from the gym.
Photosynthesizing algae injected into the blood vessels of tadpoles supply oxygen to their brains.
Leading a double life in water and on land, frogs have many breathing techniques – through the gills, lungs, and skin – over the course of their lifetime. Now German scientists have developed another method that allows tadpoles to “breathe” by introducing algae into their bloodstream to supply oxygen. The method developed, presented October 13 in the journal iScience, provided enough oxygen to effectively rescue neurons in the brains of oxygen-deprived tadpoles.
“The algae actually produced so much oxygen that they could bring the nerve cells back to life, if you will,” says senior author Hans Straka of Ludwig-Maximilians-University Munich. “For many people, it sounds like science fiction, but after all, it’s just the right combination of biological schemes and biological principles.”
In this post I outline my journey creating a dynamic NFT on the Ethereum blockchain with IPFS and discuss the possible use cases for scientific data. I do not cover algorithmic generation of static images (you should read Albert Sanchez Lafuente’s neat step-by-step for that) but instead demonstrate how I used Cytoscape.js, Anime.js and genomic feature data to dynamically generate visualizations/art at run time when NFTs are viewed from a browser. I will also not be providing an overview of Blockchain but I highly recommend reading Yifei Huang’s recent post: Why every data scientist should pay attention to crypto.
W h ile stuck home during the pandemic, I’m one of the 10 million that tried my hand at gardening on our little apartment balcony in Brooklyn. The Japanese cucumbers were a hit with our neighbors and the tomatoes were a hit with the squirrels but it was the peppers I enjoyed watching grow the most. This is what set the objective for my first NFT: create a depiction of a pepper that ripens over time.
How much of the depiction is visualization and how much is art? Well that’s in the eye of the beholder. When you spend your days scrutinizing data points, worshiping best practices and optimizing everything from memory usage to lunch orders it’s nice to take some artistic license and make something just because you like it, which is exactly what I’ve done here. The depiction is authentically generated from genomic data features but obviously this should not be viewed as any kind of serious biological analysis.
Many people reject scientific expertise and prefer ideology to facts. Lee McIntyre argues that anyone can and should fight back against science deniers. Watch the Q&A: https://youtu.be/2jTiXCLzMv4 Lee’s book “How to Talk to a Science Denier” is out now: https://geni.us/leemcintyre.
“Climate change is a hoax—and so is coronavirus.” “Vaccines are bad for you.” Many people may believe such statements, but how can scientists and informed citizens convince these ‘science deniers’ that their beliefs are mistaken?
Join Lee McIntyre as he draws on his own experience, including a visit to a Flat Earth convention as well as academic research, to explain the common themes of science denialism.
Lee McIntyre is a Research Fellow at the Center for Philosophy and History of Science at Boston University and an Instructor in Ethics at Harvard Extension School. He holds a B.A. from Wesleyan University and a Ph.D. in Philosophy from the University of Michigan (Ann Arbor). He has taught philosophy at Colgate University (where he won the Fraternity and Sorority Faculty Award for Excellence in Teaching Philosophy), Boston University, Tufts Experimental College, Simmons College, and Harvard Extension School (where he received the Dean’s Letter of Commendation for Distinguished Teaching). Formerly Executive Director of the Institute for Quantitative Social Science at Harvard University, he has also served as a policy advisor to the Executive Dean of the Faculty of Arts and Sciences at Harvard and as Associate Editor in the Research Department of the Federal Reserve Bank of Boston.
AI can detect signals that are informative about mental health from questionnaires and brain scans.
A study published today by an interdisciplinary collaboration, directed by Denis Engemann from Inria, demonstrates that machine learning from large population cohorts can yield “proxy measures” for brain-related health issues without the need for a specialist’s assessment. The researchers took advantage of the UK Biobank, one of the world’s largest and most comprehensive biomedical databases, that contains detailed and secure health-related data on the UK population. This work is published in the open access journal GigaScience.
Mental health issues have been increasing worldwide, with the WHO determining that there has been a 13% increase in mental health conditions and substance abuse disorders between 2007 and 2017. The burden these diseases place on society is extensive, negatively impacting nearly every area of life: school, work, family, friends, and community engagement. Among the many issues impeding the ability of society to address these disorders is that diagnoses of such health issues requires specialists; the availability of which ranges drastically across the globe. The development of machine learning methodology for the purposes of facilitating mental-health assessments could provide a much needed additional means to help detect, prevent and treat such health issues.
Papers referenced in the video: Chocolate consumption and all-cause and cause-specific mortality in a US population: a post hoc analysis of the PLCO cancer screening trial. https://pubmed.ncbi.nlm.nih.gov/34329196/
Short-term administration of dark chocolate is followed by a significant increase in insulin sensitivity and a decrease in blood pressure in healthy persons. https://pubmed.ncbi.nlm.nih.gov/15755830/
Other RCTs for the effect of chocolate on health: Sub-Chronic Consumption of Dark Chocolate Enhances Cognitive Function and Releases Nerve Growth Factors: A Parallel-Group Randomized Trial. https://pubmed.ncbi.nlm.nih.gov/31744119/
Habitual cocoa intake reduces arterial stiffness in postmenopausal women regardless of intake frequency: a randomized parallel-group study. https://pubmed.ncbi.nlm.nih.gov/27881914/
High Flavonoid Cocoa Supplement Ameliorates Plasma Oxidative Stress and Inflammation Levels While Improving Mobility and Quality of Life in Older Subjects: A DoubleBlind Randomized Clinical Trial.
Ask a manufacturing company what their current top headaches are, and supply chain disruptions and staff shortages will probably top the list. Vecna Robotics might have the solution for both.
Vecna Robotics develops autonomous mobile robots (AMRs) used in distribution, logistics, warehousing and manufacturing (the company first cut its teeth in hospitals and other health care facilities). Their secret sauce is the software; after all, explains founder and Chief Innovation Officer Daniel Theobald, robotics is 90–95% software. Vecna Robotics implants its software brains in existing equipment like forklifts and pallet trucks, making them autonomous – though the company does build some hardware of its own.
What sets Vecna Robotics apart is the combination of an ambitious vision with a pragmatic attitude, articulated in three key principles:
