Lifeboat Foundation

Amid a rise in the innovation of wearable technology, researchers are looking for ways to harness the adaptive sensing ability of the human body.

A recent University of Melbourne panel discussion covered the future of wearable sensors. Professor Graham Kerr, Bill Dimopoulos, Galen Gan and Professor Peter Lee considered the management of information generated from such technology and its interpretation for improving health.

Regulatory efforts to protect data are making strides globally. Patient data is protected by law in the United States and elsewhere. In Europe the General Data Protection Regulation (GDPR) guards personal data and recently led to a US $1.3 billion fine for Meta. You can even think of Apple’s App Store policies against data sharing as a kind of data-protection regulation.

“These are good constraints. These are constraints society wants,” says Michael Gao, founder and CEO of Fabric Cryptography, one of the startups developing FHE-accelerating chips. But privacy and confidentiality come at a cost: They can make it more difficult to track disease and do medical research, they potentially let some bad guys bank, and they can prevent the use of data needed to improve AI.

“Fully homomorphic encryption is an automated solution to get around legal and regulatory issues while still protecting privacy,” says Kurt Rohloff, CEO of Duality Technologies, in Hoboken, N.J., one of the companies developing FHE accelerator chips. His company’s FHE software is already helping financial firms check for fraud and preserving patient privacy in health care research.

Ocean bays that pinch West Antarctica are home to two distinct populations of Turquet’s octopus (Pareledone turqueti). The shared secrets of their ancestors do not bode well for the future health of our planet.

A new DNA analysis of the two geographically separated octopus populations indicates they were once part of one big family.

This direct historical connection suggests that around 125,000 years ago, the massive 2.2 million cubic kilometer (530,000 cubic mile) West Antarctic Ice Sheet (WAIS) that separates the two bays had fully collapsed into the sea.

Researchers have created an artificial intelligence tool that uses sequences of life events—such as health history, education, job and income—to predict everything from a person’s personality…

A multi-university team of researchers, supported by federal funding, is developing a highly efficient bacterial therapeutic to target cancer more precisely to make treatment safer through a single $1 dose.

Traditionally, cancer therapies have been limited in their efficacy in treating patients. Some, like radiation and chemotherapy, cause harmful side effects, while others tend to result in low patient responsiveness, not to mention the cost it takes to receive treatment. Findings from the American Cancer Society Cancer Action Network recorded that 73% of cancer survivors and patients were worried about how they were going to pay the cost of their cancer care, and 51% said they were in medical debt from treatment. For example, state-of-the-art cancer therapy can cost up to $1,000,000.

Texas A&M University and the University of Missouri are leading the effort to develop a low-cost, safe, and controlled cancer treatment. Researchers received a $20 million grant from the Advanced Research Projects Agency for Health (ARPA-H) to fight cancer. The four-year project is part of the current administration’s Cancer Moonshot initiative, an effort to advance and increase funding for cancer research. It is one of the first projects funded by the newly established agency that aims to accelerate better health outcomes for everyone by supporting the development of high-impact solutions to society’s most challenging health problems.

Horizons _ SCIENCE, TECHNOLOGY + HEALTH

Abstract Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event sequences.

Using registry data from Denmark, Lehmann et al. create individual-level trajectories of events related to health, education, occupation, income and address, and also apply transformer models to build rich embeddings of life-events and to predict outcomes ranging from time of death to personality.

A team of researchers around Berlin mathematics professor Michael Joswig is presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. Collaborating with biologists from ETH Zurich and Carnegy Science (U.S.), the team has successfully identified master regulators within the context of an entire genetic network.

The research results provide a coherent theoretical framework for analyzing biological networks and have been published in the Proceedings of the National Academy of Sciences.

It is a longstanding goal of biologists to determine the key genes and species that have a decisive impact on evolution, ecology, and health. Researchers have now succeeded in identifying certain genes as master regulators in biological networks. These key regulators exert greater control within the system and steer essential cellular processes. Previous studies have mainly focused on pairwise interactions within the system, which can be strongly affected by genetic background or biological context.

In a year packed with fascinating discoveries, biologists pushed the limits of synthetic life, probed how organisms keep time, and refined theories about consciousness and emotional health.