Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: biotech/medical – Page 76

Biotech incubator Flagship Pioneering has uncorked its latest company. Lila Sciences is looking to use $200 million in seed funding to develop new advanced artificial intelligence that can power fully autonomous research labs, according to a March 10 press release.

In addition to Flagship, the financing comes from General Catalyst, March Capital, the ARK Venture Fund, Altitude Life Science Ventures, Blue Horizon Advisors, the State of Michigan Retirement System, Modi Ventures and a wholly owned subsidiary of the Abu Dhabi Investment Authority, according to the release.

Read more | >

Scientists have made a potentially “life-changing” discovery that could pave the way for new drugs to treat Parkinson’s disease.

Experts have known for several decades that the PINK1 protein is directly linked to Parkinson’s disease – the fastest growing neurodegenerative condition in the world.

Until now, no one has seen what human PINK1 looks like, how PINK1 attaches to the surface of damaged mitochondria inside of cells, or how it is activated.

Read more | >

A hospital that wants to use a cloud computing service to perform artificial intelligence data analysis on sensitive patient records needs a guarantee those data will remain private during computation. Homomorphic encryption is a special type of security scheme that can provide this assurance.

The technique encrypts data in a way that anyone can perform computations without decrypting the data, preventing others from learning anything about underlying patient records. However, there are only a few ways to achieve homomorphic encryption, and they are so computationally intensive that it is often infeasible to deploy them in the real world.

MIT researchers have developed a new theoretical approach to building homomorphic encryption schemes that is simple and relies on computationally lightweight cryptographic tools. Their technique combines two tools so they become more powerful than either would be on its own. The researchers leverage this to construct a “somewhat homomorphic” encryption scheme—that is, it enables users to perform a limited number of operations on encrypted data without decrypting it, as opposed to fully homomorphic encryption that can allow more complex computations.

Read more | >

University at Albany researchers at the RNA Institute are pioneering new methods for designing and assembling DNA nanostructures, enhancing their potential for real-world applications in medicine, materials science and data storage.

Their latest findings demonstrate a novel ability to assemble these structures without the need for and controlled cooling. They also demonstrate successful assembly of unconventional “buffer” substances including nickel. These developments, published in the journal Science Advances, unlock new possibilities in DNA nanotechnology.

DNA is most commonly recognized for its role in storing genetic information. Composed of base pairs that can easily be manipulated, DNA is also an excellent material for constructing nanoscale objects. By “programming” the base pairs that make up DNA molecules, scientists can create precise structures as small as a few nanometers that can be engineered into shapes with intricate architectures.

Read more | >

PBS Member Stations rely on viewers like you. To support your local station, go to: http://to.pbs.org/DonateSPACE

Sign Up on Patreon to get access to the Space Time Discord!
/ pbsspacetime.

Superconductive materials seem miraculous. Their resistanceless flow of electricity has been exploited in some powerful ways—from super-strong magnets used in MRIs, particle accelerators and fusion plants. And then there’s, their bizarre ability to levitate in magnetic fields. But the broader use of superconductors is limited because they need to be cooled to extremely low temperatures to work. But what if we could produce superconductivity at room temperature? It would change the world.

Check out the Space Time Merch Store.
https://www.pbsspacetime.com/shop.

Sign up for the mailing list to get episode notifications and hear special announcements!
https://mailchi.mp/1a6eb8f2717d/space… the Entire Space Time Library Here: https://search.pbsspacetime.com/ Hosted by Matt O’Dowd Written by Matt O’Dowd Post Production by Leonardo Scholzer, Yago Ballarini, Adriano Leal & Stephanie Faria Directed by Andrew Kornhaber Associate Producer: Bahar Gholipour Executive Producers: Eric Brown & Andrew Kornhaber Executive in Charge for PBS: Maribel Lopez Director of Programming for PBS: Gabrielle Ewing Assistant Director of Programming for PBS: John Campbell Spacetime is produced by Kornhaber Brown for PBS Digital Studios. This program is produced by Kornhaber Brown, which is solely responsible for its content. © 2023 PBS. All rights reserved. End Credits Music by J.R.S. Schattenberg: / multidroideka Space Time Was Made Possible In Part By: Big Bang Supporters Bryce Fort Peter Barrett David Neumann Sean Maddox Alexander Tamas Morgan Hough Juan Benet Vinnie Falco Fabrice Eap Mark Rosenthal Quasar Supporters Glenn Sugden Alex Kern Ethan Cohen Stephen Wilcox Mark Heising Hypernova Supporters Stephen Spidle Chris Webb Ivari Tölp Zachary Wilson Kenneth See Gregory Forfa Bradley Voorhees Scott Gorlick Paul Stehr-Green Ben Delo Scott Gray Антон Кочков Robert Ilardi John R. Slavik Donal Botkin Edmund Fokschaner chuck zegar Jordan Young Daniel Muzquiz Gamma Ray Burst Supporters Dennis Van Hoof Koen Wilde Nicolas Katsantonis Piotr Sarnicki Massimiliano Pala Thomas Nielson Joe Pavlovic Ryan McGaughy Justin Lloyd Chuck Lukaszewski Cole B Combs Andrea Galvagni Jerry Thomas Nikhil Sharma Ryan Moser John Anderson David Giltinan Scott Hannum Bradley Ulis Craig Falls Kane Holbrook Ross Story Teng Guo Mason Dillon Matt Langford Harsh Khandhadia Thomas Tarler Susan Albee Frank Walker Michael Lev Terje Vold James Trimmier Jeremy Soller Andre Stechert Paul Wood Joe Moreira Kent Durham Ramon Nogueira The Mad Mechanic Ellis Hall John H. Austin, Jr. Diana S Poljar Faraz Khan Almog Cohen Daniel Jennings Russ Creech Jeremy Reed David Johnston Michael Barton Isaac Suttell Oliver Flanagan Bleys Goodson Robert Walter Mark Delagasse Mark Daniel Cohen Shane Calimlim Eric Kiebler Craig Stonaha Frederic Simon John Robinson Jim Hudson Alex Gan David Barnholdt David Neal John Funai Bradley Jenkins Vlad Shipulin Cody Brumfield Thomas Dougherty King Zeckendorff Dan Warren Joseph Salomone Patrick Sutton Dean Faulk.

Search the Entire Space Time Library Here: https://search.pbsspacetime.com/

Continue reading “Are Room Temperature Superconductors IMPOSSIBLE?” | >

Two of the participants met the definition of partial success at 12 and 18 months, and the overall success of CALEC was 93% at 12 months and 92% at 18 months. Three participants received a second corneal CALEC transplant, of which one experienced complete success by the end check-up visit of the study.

Additional analysis of the impact of CALEC on vision showed varying levels of improvement of visual acuity in all 14 of the participants. The corneal procedure displayed a high safety profile with no adverse events occurring. However, one participant had a bacterial infection eight months after transplant due to chronic contact lens use. Any other adverse events were minor and were resolved quickly.

The CALEC trial is the first human study of a stem cell therapy to be funded by the National Eye Institute (NEI) branch of the NIH. However, the CALEC procedure remains an experimental procedure and it is not offered at Mass Eye and Ear or at any other hospital in America. Mass General Brigham’s Gene and Cell Therapy Institute will be conducting additional randomized-control design studies including a larger number of participants at multiple centers, with longer follow-ups before this treatment will be submitted for federal approval.

Read more | >

Heman Bekele has just been named Time’s 2024 Kid of the Year.

S 15, is already spending part of every weekday working in a lab at the Johns Hopkins Bloomberg School of Public Health in Baltimore, hoping to bring his dream to fruition. ‘.

Last year NPR interviewed Heman Bekele about his invention of a soap to fight skin cancer. He was motivated by his childhood in Ethiopia: He saw people working in the sun and thought of health risks.

Read more | >

In early February, an Australian man in his 40s became the first person in the world to leave hospital with a virtually unbreakable heart made of metal.

‘Beating’ in his chest was a titanium pump about the size of a fist. For 105 days, the metal organ’s levitating propeller pushed blood to the man’s lungs and kept him alive as he went about his usual business.

On March 6, when a human donor heart became available, the man’s titanium heart was swapped out for the real thing. Doctors say without the metal stop-gap, the patient’s real heart would have failed before a donor became available.

Read more | >

【Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance】 Full article: (Authored by Noshin Un Noor, et al., from World University of Bangladesh, Bangladesh.)

Skin_diseases are a major global health concern, encompassing a wide range of conditions with varying severity. Prompt and precise diagnosis is critical for effective treatment. However, traditional methods often rely on dermatologists, creating disparities in access to care. This study creates and assesses a highly accurate Convolutional Neural Network (CNN) model that can use digital photos of skin lesions to diagnose a variety of skin conditions, and looks into how well various CNN architectures and pre-trained models may increase the precision and effectiveness of diagnosing skin conditions.

Abstract

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated skin disease diagnostic method. The work uses preprocessing methods like scaling, normalization, and augmentation to improve model robustness using the DermNet dataset, which consists of 19,500 pictures from 23 disease categories. TensorFlow and Keras were used to create a unique CNN architecture, which produced an impressive accuracy of 94.65%. Metrics like precision, recall, and F1-score were used to validate the model’s performance, showing that it outperformed more conventional machine learning techniques like SVM and KNN. The system incorporates patient-reported symptoms in addition to diagnosis to provide a comprehensive approach to health support, allowing for remote accessibility and tailored therapy suggestions. This work recognizes issues like dataset variability and processing needs while showcasing the revolutionary potential of AI in dermatology. In order to improve model interpretability and clinical integration, future possibilities include dataset extension, real-world validation, and the use of explainable AI.

Skin Disease Diagnosis, Dermatological Image Analysis, Medical Image Classification, Convolutional Neural Networks (CNNs), Healthcare Accessibility, Deep Learning Applications, DermNet Dataset

Read more | >