Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: biotech/medical – Page 145

New perspectives for wound healing and the treatment of chronic diseases

Fibroblasts are specialised connective tissue cells that play a key role in wound healing and tissue regeneration. The recent scientific publication from the University of Leipzig Medical Center shows that fibroblasts respond differently depending on the organ and disease context. Their functions are shaped by their embryonic origin, tissue-specific signals, and pathological stimuli. These specialised cells are not only involved in tissue repair and remodelling, but also influence the immune system and the development of diseases such as cancer, fibrosis and chronic inflammatory conditions.

“Until now, our understanding of fibroblast diversity has been based primarily on studies in animal models. This new review is the first to compare and integrate extensive human studies that have used modern single-cell technologies. This approach makes it possible to combine findings from different human studies, creating a comprehensive picture of the various origins and functions of human fibroblasts,” says Professor Sandra Franz, lead author of the study from the University of Leipzig Medical Center.

This deeper understanding of cellular heterogeneity opens up new avenues for the development of targeted therapies.

The Revolution Against Aging And Death Festival (RAADFest): James Strole

New YT video, featuring RAADFest creator, James Strole!

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD

Discount Links/Affiliates:
Blood testing (where I get the majority of my labs): https://www.ultalabtests.com/partners/michaellustgarten.

At-Home Metabolomics: https://www.iollo.com?ref=michael-lustgarten.
Use Code: CONQUERAGING At Checkout.

Clearly Filtered Water Filter: https://get.aspr.app/SHoPY

Continue reading “The Revolution Against Aging And Death Festival (RAADFest): James Strole” | >

AI used to design immune-safe ‘zinc finger’ proteins for gene therapy

Machine learning models have seeped into the fabric of our lives, from curating playlists to explaining hard concepts in a few seconds. Beyond convenience, state-of-the-art algorithms are finding their way into modern-day medicine as a powerful potential tool. In one such advance, published in Cell Systems, Stanford researchers are using machine learning to improve the efficacy and safety of targeted cell and gene therapies by potentially using our own proteins.

Most human diseases occur due to the malfunctioning of proteins in our bodies, either systematically or locally. Naturally, introducing a new therapeutic protein to cure the one that is malfunctioning would be ideal.

Although nearly all therapeutic protein antibodies are either fully human or engineered to look human, a similar approach has yet to make its way to other therapeutic proteins, especially those that operate in cells, such as those involved in CAR-T and CRISPR-based therapies. The latter still runs the risk of triggering immune responses. To solve this problem, researchers at the Gao Lab have now turned to machine learning models.

A semi-automated manufacturing process for cost-efficient quantum cascade laser modules

Resonantly tunable quantum cascade lasers (QCLs) are high-performance laser light sources for a wide range of spectroscopy applications in the mid-infrared (MIR) range. Their high brilliance enables minimal measurement times for more precise and efficient characterization processes and can be used, for example, in chemical and pharmaceutical industries, medicine or security technology. Until now, however, the production of QCL modules has been relatively complex and expensive.

The Fraunhofer Institute for Applied Solid State Physics IAF has therefore developed a semi-automated process that significantly simplifies the production of QCL modules with a MOEMS (micro-opto-electro-mechanical system) grating scanner in an external optical cavity (EC), making it more cost-efficient and attractive for industry. The MOEMS-EC-QCL technology was developed by Fraunhofer IAF in collaboration with the Fraunhofer Institute for Photonic Microsystems IPMS.

AI algorithms approach the theoretical limit of optical measurement precision

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a camera, there are always fundamental resolution limits that cannot be exceeded in principle. The position of a particle can never be measured with infinite precision; a certain amount of blurring is unavoidable. This limit does not result from technical weaknesses, but from the physical properties of light and the transmission of information itself.

TU Wien (Vienna), the University of Glasgow and the University of Grenoble therefore posed the question: Where is the absolute limit of precision that is possible with optical methods? And how can this limit be approached as closely as possible?

And indeed, the international team succeeded in specifying a lowest limit for the theoretically achievable precision and in developing AI algorithms for that come very close to this limit after appropriate training. This strategy is now set to be employed in imaging procedures, such as those used in medicine. The study is published in the journal Nature Photonics.

Early camizestrant therapy keeps advanced breast cancer in check

Switching to camizestrant, a next-generation oral SERD, significantly prolongs progression-free survival and maintains quality of life in patients with ESR1-mutated, hormone receptor-positive advanced breast cancer. The proactive, biomarker-guided approach allows earlier intervention and may redefine standard care.

/* */