Lifeboat Foundation

Researchers at Penn Engineering have developed PanoRadar, a system that uses radio waves and AI to provide robots with detailed 3D environmental views, even in challenging conditions like smoke and fog. This innovation offers a cost-effective alternative to LiDAR, enhancing robotic navigation and perception capabilities.

In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.

Continue reading “Giving robots superhuman vision using radio signals” »

Groundbreaking research presented at UEG Week 2024 reveals a promising new treatment strategy for type 2 diabetes (T2D) that could significantly reduce or even eliminate the need for insulin therapy.

This innovative approach, which combines a novel procedure known as ReCET (Re-Cellularization via Electroporation Therapy) with semaglutide, resulted in the elimination of insulin therapy for 86% of patients.

Globally, T2D affects 422 million people, with obesity recognized as a significant risk factor. While insulin therapy is commonly used to manage blood sugar levels in T2D patients, it can result in side effects such as weight gain and further complicate diabetes management. A need therefore exists for alternative treatment strategies.

While labeled a “robot wolf” by its designers, this platform presents itself as a powerful tactical tool likely aimed at military or security applications, where its design and capabilities stand to offer significant operational value.

The robot’s four-legged design is an immediate indicator of its…

At China’s Zhuhai Air Show, a new robotic quadruped known as robot-wolf stole the spotlight demonstrating its capability to respond to real-time voice commands.

Continue reading “China’s military robot-wolf follows voice commands in real time” »

Principal investigator Eric Pierce pointed out that the trial shows that gene therapy for hereditary vision loss is a worthy pursuit for future research. He believes the early research is promising.

“It’s a big deal to hear how thrilled they were to finally be able to see food on their plates,” said Pierce. “These were individuals who couldn’t read a single line on an eye chart. They had no treatment options, which is an unfortunate reality for most people with inherited retinal disorders.”

The goal is to inject CRISPR so that it reaches the retina to restore the ability to produce genes and proteins.

Blocking enzyme SMYD5 inhibits tumour growth and primes lab models for combination therapy, offering hope for more effective treatments.

Microbial systems have been synthetically engineered to deploy therapeutic payloads in vivo.

To enable effective cancer vaccination, we developed an engineered bacterial system in probiotic Escherichia coli Nissle 1917 (EcN) to enhance expression, delivery and immune-targeting of arrays of tumour exonic mutation-derived epitopes highly expressed by tumour cells and predicted to bind major histocompatibility complex (MHC) class I and II (Fig. 1a). This system incorporates several key design elements that enhance therapeutic use: optimization of synthetic neoantigen construct form with removal of cryptic plasmids and deletion of Lon and OmpT proteases to increase neoantigen accumulation, increased susceptibility to phagocytosis for enhanced uptake by antigen-presenting cells (APCs) and presentation of MHC class II-restricted antigens, expression of listeriolysin O (LLO) to induce cytosolic entry for presentation of recombinant encoded neoantigens by MHC class I molecules and T helper 1 cell (T_H1)-type immunity and improved safety for systemic administration due to reduced survival in the blood and biofilm formation.

To assemble a repertoire of neoantigens, we conducted exome and transcriptome sequencing of subcutaneous CT26 tumours. Neoantigens were predicted from highly expressed tumour-specific mutations using established methods^14,15, with selection criteria inclusive of putative neoantigens across a spectrum of MHC affinity^16,17. Given the importance of both MHC class I and MHC class II binding epitopes in antitumour immunity^15,18,19, we integrated a measure of wild-type-to-mutant MHC affinity ratio—termed agretopicity^17,20—for both epitope types derived from a given mutation, to help estimate the ability of adaptive immunity to recognize a neoantigen. Predicted neoantigens were selected from the set of tumour-specific mutations satisfying all criteria, notably encompassing numerous recovered, previously validated CT26 neoantigens¹⁵ (Extended Data Fig. 1a).

Continue reading “Probiotic neoantigen delivery vectors for precision cancer immunotherapy” »

Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein structure predictions from months to hours while increasing structural diversity.

Oxford Nanopore Technologies observes that direct analysis has already enhanced research across species, disease states, and applications.

The researchers used electrospinning to produce the patch—a method where high voltage is applied to a polymer solution to produce synthetic nanofibers. The fibers are then used to make a fiber mat that may be attached to the skin like a plaster.

The researchers are still working on the patch. More research, product development and clinical trials are needed before the method is ready for use.

According to Andrea Heinz, though, it has great potential that extends beyond psoriasis treatment, “A patch containing active ingredients may be an alternative to creams and ointments in the treatment of other inflammatory skin diseases, for instance atopic eczema. It may also be useful in connection with wound healing.”