Lifeboat Foundation

Humans have been trying to cheat death for thousands of years. Myths about elixirs promising immortality span various cultures, as do real concoctions that often did more harm than good. One of the most misguided attempts at creating a potion for immortality involved the first emperor of China and mercury pills. In his obsession with finding a formula that would grant him eternal life, Qin Shi Huang downed mercury and other toxic substances nearly two millennia ago, believing his alchemists had hit upon the perfect magical tonic. Unsurprisingly, he died prematurely at age 49.

Archeologists have discovered another 2,000-year-old “elixir for immortality” that sheds light on the true cost of chasing down eternal life.

While excavating the tomb of a Western Han noble family in China’s Henan province in 2018, researchers unearthed a bronze pot. At first, the team thought the liquid inside was wine, but more recently determined that it was an alchemist’s formulation: a yellow liquid containing potassium nitrate and alunite. These two ingredients are cited in ancient Taoist texts as ingredients for immortality. Potassium nitrate is an inorganic salt used today as a natural source of nitrate, and is a useful ingredient in food preservatives, fertilizer, and fireworks. Alunite is a mineral that forms in volcanic or sedimentary environments when sulfur-rich minerals oxidize. It has historically been used to make alum, which is important for water purification, tanning, and dyeing.

Australian physicists resolve time travel paradox, showing it could be possible according to einstein’s theory.

Australian physicists have demonstrated that time travel could be theoretically possible by resolving the classic grandfather paradox. By aligning Einstein’s theory of general relativity with classical dynamics, researchers at the University of Queensland showed that time travel scenarios, such as altering past events, can coexist without resulting in logical inconsistencies. They used a model involving the coronavirus pandemic to illustrate how events would adjust themselves to avoid paradoxes. This research suggests that time travel, while complex, does not inherently create contradictions and could be feasible according to current mathematical models.

After reading the article, a Reddit user named Harry gained more than 524 upvotes with this comment: Isn’t the problem with time travel that it is also space travel? The earth isn’t in the same spot now as it was when you first started reading my comment, the earth travels very fast in space so wouldn’t you also have to find out where in space the earth was in 1950 (chose random date) in order to physically travel there? And how could we know where in physical space the earth was in 1950?

We present the first open-source benchmark to evaluate LLMs in their ability to operate as agents in simulated clinical environments. Diagnosing and managing a patient is a complex, sequential decision making process that requires physicians to obtain information—such as which tests to perform—and to act upon it. Recent advances in artificial intelligence (AI) and large language models (LLMs) promise to profoundly impact clinical care. However, current evaluation schemes overrely on static medical question-answering benchmarks, falling short on interactive decision-making that is required in real-life clinical work. Here, we present AgentClinic: a multimodal benchmark to evaluate LLMs in their ability to operate as agents in simulated clinical environments. In our benchmark, the doctor agent must uncover the patient’s diagnosis through dialogue and active data collection. We present two open benchmarks: a multimodal image and dialogue environment, AgentClinic-NEJM, and a dialogue-only environment, AgentClinic-MedQA. Agents in AgentClinic-MedQA are grounded in cases from the US Medical Licensing Exam~(USMLE) and AgentClinic-NEJM are grounded in multimodal New England Journal of Medicine (NEJM) case challenges. We embed cognitive and implicit biases both in patient and doctor agents to emulate realistic interactions between biased agents. We find that introducing bias leads to large reductions in diagnostic accuracy of the doctor agents, as well as reduced compliance, confidence, and follow-up consultation willingness in patient agents. Evaluating a suite of state-of-the-art LLMs, we find that several models that excel in benchmarks like MedQA are performing poorly in AgentClinic-MedQA. We find that the LLM used in the patient agent is an important factor for performance in the AgentClinic benchmark. We show that both having limited interactions as well as too many interaction reduces diagnostic accuracy in doctor agents.

Psychological stress disrupts communication between the brain and gut, reducing protective mucus production in the intestines. This weakens the immune system and makes the body more vulnerable to infections, but probiotics may help restore balance.

Have we created an operating system for life? How close are we to cloning humans, and what would that even look like?

You’re in for a fascinating episode as the line between science and science fiction gets blurred. My guest is microbiologist and geneticist Andrew Hessel, the CEO and Founder of The Genome Project-Write, and author of \.

How can machine learning help individuals with type 1 diabetes (T1D)? This is what a study presented at this year’s Annual Meeting of the European Association for the Study of Diabetes (EASD) hopes to address as a team of researchers have developed a system using machine learning capable of managing blood sugars levels with such proficiency that those using system were able to lead lives far more active than the average T1D patient.

For the study, the researchers developed the AID system, which uses closed-loop technology that delivers insulin based on readings from the machine learning algorithm, resulting in a 50-year-old man, a 40-year-old man, and a 34-year-old woman with T1D being able to run hours-long marathons in Tokyo, Santiago, and Paris, respectively. This study holds the potential to help develop better technology capable of allowing T1D diabetes patients to stay in shape without constantly fearing for their blood sugar levels, which can lead to long-term health problems, including hyperglycemia, nerve damage, or a heart attack.

“Despite better systems for monitoring blood sugars and delivering insulin, maintaining glucose levels in target range during aerobic training and athletic competition is especially difficult,” said Dr. Maria Onetto, who is in the Department of Nutrition at the Pontifical Catholic University of Chile and lead author of the study. “The use of automated insulin delivery technology is increasing, but exercise continues to be a challenge for individuals with T1D, who can still struggle to reach the recommended blood sugar targets.”

St. Jude’s Liz Kellogg, Ph.D., uses cryo-EM to study programmable transposons for targeted gene therapies, including potential new treatments for cystic fibrosis.

The future of CRISPR involves clinical trials focused on treatment for blood diseases and cancers, cardiovascular disease, T1D, and HIV.

A GROUNDBREAKING cancer vaccine could stop tumours growing in patients with advanced disease, researchers say.

Designed to prime the body to recognise and fight cancer cells, the jab could stimulate the immune system to help treat the disease more effectively, early trial results show.

Researchers described the results as “an important first step” in developing a new treatment for people with advanced cancers.