Lifeboat Foundation: Safeguarding Humanity
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Category: biotech/medical – Page 1,300

Scientists in breakthrough towards secret of eternal youth

Science: In my opinion the main cause of aging is the accumulation of mutations in DNA 🧬 more than telomere size reduction or “toxin’s”. But the control of these “toxins” together with drug’s that simulate the restriction of calories and the transfusion of blood from young people to old people. And future drugs to make the telomeres grow again.

These four treatments together maybe can promote life extension. I am also enthusiastic in regenerative treatment with stem cells and “replace” old organs by new one’s growing in lab from stem cells. However I believe that immortality only when you make the enzymes “fix” in 100% the mutations caused by radicals.

High levels of toxic chemicals in the body, such as formaldehyde, which is best known as an embalming agent, have recently been found to be naturally made by cells and also to cause ageing.

Leading scientists from Cornell University, the University of Oxford, the University of Cambridge and Cancer Research UK are trying to understand what causes the body to overproduce formaldehyde.

It is hoped that drugs may be able to lower levels of it in the body and reverse the ageing process.

Artificial intelligence vs. evolving super-complex tumor intelligence: critical viewpoints

Recent developments in various domains have led to a growing interest in the potential of artificial intelligence to enhance our lives and environments. In particular, the application of artificial intelligence in the management of complex human diseases, such as cancer, has garnered significant attention. The evolution of artificial intelligence is thought to be influenced by multiple factors, including human intervention and environmental factors. Similarly, tumors, being heterogeneous and complex diseases, continue to evolve due to changes in the physical, chemical, and biological environment. Additionally, the concept of cellular intelligence within biological systems has been recognized as a potential attribute of biological entities. Therefore, it is plausible that the tumor intelligence present in cancer cells of affected individuals could undergo super-evolution due to changes in the pro-tumor environment. Thus, a comparative analysis of the evolution of artificial intelligence and super-complex tumor intelligence could yield valuable insights to develop better artificial intelligence-based tools for cancer management.

Tumor evolution refers to the changes that occur in a cancerous tumor over time as it grows and spreads (Hanahan and Weinberg, 2011; Lyssiotis and Kimmelman, 2017). These changes are the result of genetic mutations and changes in gene expression that can give rise to new subpopulations of cells within the tumor (Lyssiotis and Kimmelman, 2017; Balaparya and De, 2018). Over time, these subpopulations may accumulate subsequent mutations that confer enhanced survival and heightened proliferative capacity, thereby culminating in the emergence of a more formidable tumor exhibiting either heightened aggressiveness or treatment resistance (Balaparya and De, 2018; Gui and Bivona, 2022; Shin and Cho, 2023). Tumor evolution can have important implications for cancer diagnosis and treatment.

FDA Approves First-Line Enzalutamide/Talazoparib Combo in Prostate Cancer

The U.S Food and Drug Administration (FDA) has approved a new drug combination for men with metastatic, castration-resistant prostate cancer (mCRPC) and certain DNA repair gene mutations, widening treatment options for this large patient population.

The androgen-receptor inhibitor enzalutamide plus the PARP inhibitor talazoparib can now be used as first-line treatment for mCRPC patients who have homologous recombination repair (HRR) gene alterations.

#MetastaticProstateCancer.

A new combination therapy for for metastatic prostate cancer that includes an already approved breast cancer drug was just approved by the FDA last month on June 20. It has many excited.

The FDA has approved a new drug combination therapy for metastatic castration-resistant prostate cancer and DNA repair gene mutations.

How Humans Will Become a Multi-Planetary Species

Rothschild calls this “living tech,” which starts with the power of the cell. Microscopic organisms will produce silk, wool, latex, silica, and other materials. We’ll send digital information to biofactories on Mars through DNA sequences. We’ll generate and store power using living organisms. Rothschild said one of her students incorporated silver atoms into plant DNA to make an electrical wire.

“Once you think of life as technology,” Rothschild said, “you’ve got the solution.”

Humans have many practical reasons to become multi-planetary. But the mission shouldn’t represent merely a life insurance policy for the species. We’re still explorers and visionaries, so let’s harness that ambition for an aspirational purpose.

Scientists Discover a New, Unexpected Way That Cancer Cells Spread

One of the challenges in treating cancer is stopping it from metastasizing, and a new study reveals one of the fundamental mechanisms through which this happens. Now we know about this mechanism, perhaps we can stop it.

Key to this newly discovered process is GRP78, and it’s what’s known as a chaperone protein. It’s a type of protein that lends a hand in the folding or unfolding of larger proteins, basically building them up (or tearing them down), which then affects whether they’re biologically active and functional.

A team led by the Keck School of Medicine at the University of Southern California (USC) in the US found that cancer cells can hijack GRP78, using the protein to spread further in the body and resist treatment.

Decoding lies with AI? New machine learning model uses facial expressions and pulse rates to detect deception

Researchers from the Tokyo University of Science recently published a study in the journal Artificial Life and Robotics where they explored how machine learning can help detect deception.

Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn and improve from experience without being explicitly programmed. In other words, it is a method of teaching computers to perform specific tasks by learning from data, patterns, and examples, rather than relying on pre-defined rules.

Detecting deception can be important in various situations, like questioning crime victims or suspects and interviewing patients with mental health issues. Sometimes, human interviewers might struggle to ask the right questions or spot deception accurately.

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