Lifeboat Foundation

In a breakthrough in cancer therapeutics, a team of researchers at the Magzoub Biophysics Lab at NYU Abu Dhabi (NYUAD) has made a significant advance in light-based therapies—biocompatible and biodegradable tumor-targeting nanospheres that combine tumor detection and monitoring with potent, light-triggered cancer therapy to dramatically increase the efficacy of existing light-based approaches.

Non-invasive, light-based therapies, photodynamic therapy (PDT) and photothermal therapy (PTT) have the potential to be safe and effective alternatives to conventional cancer treatments, which are beset by a number of issues, including a range of side-effects and post-treatment complications.

However, to date, the development of effective light-based technologies for cancer has been hindered by poor solubility, low stability, and lack of tumor specificity, among other challenges. Nanocarriers designed to deliver PDT and PTT more effectively have also proven to have significant limitations.

Sarilumab„ allowed for more-rapid tapering of prednisone in a randomized trial.

When patients with polymyalgia rheumatica (PMR) have recurrent symptoms repeatedly during tapering of steroids, rheumatologists sometimes add agents such as methotrexate to decrease cumulative steroid exposure. Sarilumab (Kevzara; an interleukin-6 receptor antagonist) recently was FDA-approved in the U.S. for this purpose, based on results of this clinical trial.

Researchers identified 118 patients with PMR who had received at least 8 weeks of prednisone (≥10 mg daily) during their treatment course and had at least one symptom flare while taking ≥7.5 mg daily. Patients were randomized to receive either sarilumab, injected twice monthly for 1 year, while tapering prednisone over 14 weeks, or placebo, while tapering prednisone over 1 year. The protocol allowed for steroid “rescue” therapy if symptoms flared.

Sustained remission between weeks 12 and 52 occurred significantly more often in the sarilumab group than in the placebo group (28% vs. 10%). At 52 weeks, patients in the sarilumab group were significantly more likely to be asymptomatic and to have received no rescue therapy (45% vs. 14%). Median cumulative prednisone exposure was much lower in the sarilumab group (777 mg vs. 2044 mg). Neutropenia, diarrhea, and arthralgia occurred more commonly with sarilumab than with placebo. No deaths occurred during the trial.

Continue reading “A Biologic Agent for Treating Patients with Polymyalgia Rheumatica” »

Scholars’ understanding of the Dead Sea Scrolls may be enhanced by an unusual source: the DNA of the animals they’re printed on.

SQL Injection is still popular, but attackers are now leaning towards Traversal techniques!

Fastly’s Network Effect Threat Report sheds light on the latest attack traffic patterns & tactics.

Read:

Continue reading “Threat Report: High Tech Industry targeted the most with 46% of attack traffic tagged by NLX” »

Researchers catalogue more than 3,000 different types of cell in our most complex organ.

An international team of scientists, including from the University of Cambridge, have launched a new research collaboration that will leverage the same technology behind ChatGPT to build an AI-powered tool for scientific discovery.

While ChatGPT deals in words and sentences, the team’s AI will learn from numerical data and physics simulations from across scientific fields to aid scientists in modeling everything from supergiant stars to the Earth’s climate.

The team launched the initiative, called Polymathic AI earlier this week, alongside the publication of a series of related papers on the arXiv open access repository.

I dont really care where it comes from but we need Crispr tec to be where any alteration we do want causes Zero un intended alterations any where else 100% of the time, aim for by 2030–2035 window.

A diverse set of species, from snails to algae to amoebas, make programmable DNA-cutting enzymes called Fanzors—and a new study from scientists at MIT’s McGovern Institute for Brain Research has identified thousands of them. Fanzors are RNA-guided enzymes that can be programmed to cut DNA at specific sites, much like the bacterial enzymes that power the widely used gene-editing system known as CRISPR. The newly recognized diversity of natural Fanzor enzymes, reported Sept. 27 in the journal Science Advances, gives scientists an extensive set of programmable enzymes that might be adapted into new tools for research or medicine.

“RNA-guided biology is what lets you make programmable tools that are really easy to use. So the more we can find, the better,” says McGovern Fellow Omar Abudayyeh, who led the research with McGovern Fellow Jonathan Gootenberg.

Continue reading “Thousands of programmable DNA-cutters found in algae, snails, and other organisms” »

For most of us, the passage of time flies in just one inexorable direction.

But for theoretical quantum physicists, time’s direction isn’t quite so inflexible. It’s possible to theoretically model, simulate, and observe the backwards flow of time in ways that are impossible to achieve in the real world.

And now, scientists have shown that simulations of backwards time travel can help solve physics problems that cannot be resolved with normal physics.

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated a new approach to peer deeper into the complex behavior of materials. The team harnessed the power of machine learning to interpret coherent excitations, collective swinging of atomic spins within a system.

This groundbreaking research, published recently in Nature Communications, could make experiments more efficient, providing real-time guidance to researchers during data collection, and is part of a project led by Howard University including researchers at SLAC and Northeastern University to use machine learning to accelerate research in materials.

The team created this new data-driven tool using “neural implicit representations,” a machine learning development used in computer vision and across different scientific fields such as medical imaging, particle physics and cryo-electron microscopy. This tool can swiftly and accurately derive unknown parameters from experimental data, automating a procedure that, until now, required significant human intervention.