Lifeboat Foundation

Using a dimensionality reduction approach, Fong et al. generated a clinical aging clock (PCAge) that delineates healthy and unhealthy aging trajectories. They provide a streamlined version (LinAge) that maintains predictive power, and they demonstrate how the clock can be tailored to available data using the CALERIE study.

Immunotherapy side effects happen when the immune system that has been prompted to act against the cancer also acts against healthy cells and tissues in the body. Learn about the types of side effects that immunotherapy might cause and where to go for more information.

Meta has created a system that can embed hidden signals, known as watermarks, in AI-generated audio clips, which could help in detecting AI-generated content online.

The tool, called AudioSeal, is the first that can pinpoint which bits of audio in, for example, a full hourlong podcast might have been generated by AI. It could help to tackle the growing problem of misinformation and scams using voice cloning tools, says Hady Elsahar, a research scientist at Meta. Malicious actors have used generative AI to create audio deepfakes of President Joe Biden, and scammers have used deepfakes to blackmail their victims. Watermarks could in theory help social media companies detect and remove unwanted content.

A new approach to care may help people with cancer better manage depression, pain, and fatigue. With this approach, people may be offered weekly cognitive behavioral therapy sessions from a counselor and medicine for their symptoms.

Stepped collaborative care is an approach for managing symptoms such as depression, pain, and fatigue in people with cancer. It includes psychotherapy and medication if the symptoms are not reduced by psychotherapy alone.

A person’s symptoms are assessed every 4 weeks. If the symptoms are not in the normal range, health care providers change the frequency or type of treatment.

Continue reading “Approach Integrates Cancer Symptom Management into Routine Care” »

A few years ago, one of my students came to me and spoke about her mother who was undergoing treatment for breast cancer.

She said her mother was losing her memory and her bearings, and was very worried because nobody knew what to do about her symptoms. The oncologist sent her to the psychiatrist. The psychiatrist sent her back, saying that her symptoms were a result of the cancer treatment.

This experience prompted my student and me to begin studying the problem of or ‘chemofog’ – the termsused by people who have experienced memory loss or cognitive impairment following cancer treatment. Scientifically, it’s referred to as ‘cancer-related cognitive impairment’ or ‘chemotherapy-related cognitive dysfunction’

These technologies are helping researchers to explore what sets the human brain apart from those of other species, and how its cognitive abilities have evolved. For example, the role of non-invasive imaging in learning about cognitive abilities is discussed in a Perspective article by Feline Lindhout at the Medical Research Council’s Laboratory of Molecular Biology in Cambridge, UK, and her colleagues¹. In another article, Evelina Fedorenko at the Massachusetts Institute of Technology in Cambridge and her colleagues also draw on this literature to argue that, in humans, language probably serves mainly as a communication tool rather than as a means for thinking or reasoning² — and that language is not a prerequisite for complex thought.

One desirable outcome for human neuroscience would be to develop personalized treatments for neurological and psychiatric disorders, because translating the results of studies in animals has not proved successful or sufficient for generating effective therapies at scale. But in grasping these opportunities, researchers must keep in mind that the brain is different from other organs — it’s the seat of people’s memory, experiences and personality. When using the human brain — whether in small cubes removed during neurosurgery, or through 3D organoids made from stem cells and grown in cultures to resemble parts of the developing human brain — for research, scientists must consider the dignity and respect owed to the individuals concerned.

Robots and food have long been distant worlds: Robots are inorganic, bulky, and non-disposable; food is organic, soft, and biodegradable. Yet, research that develops edible robots has progressed recently and promises positive impacts: Robotic food could reduce electronic waste, help deliver nutrition and medicines to people and animals in need, monitor health, and even pave the way to novel gastronomical experiences. But how far are we from having a fully edible robot for lunch or dessert? And what are the challenges?

Scientists from the RoboFood project, based at EPFL, address these and other questions in a new perspective article in the journal Nature Reviews Materials (“Towards edible robots and robotic food”).

“Bringing robots and food together is a fascinating challenge,” says Dario Floreano, director of the Laboratory of Intelligent Systems at EPFL and first author of the article. In 2021, Floreano joined forces with Remko Boom from Wageningen University, The Netherlands, Jonathan Rossiter from the University of Bristol, UK, and Mario Caironi from the Italian Institute of Technology, to launch the project RoboFood.

A series of advances in materials and design have enabled manufacturers to work at scales smaller than a billionth of a size to create devices and objects of nanoscopic dimensions. This is nanotechnology, which, although relatively new, produces materials and technologies already used in mass production.

The European Commission defines nano as any material that is at least 50% composed of particles between one and one hundred nanometers in size (i.e. one billionth of a meter, or one-millionth of a millimeter). Nanomaterials differ from conventional materials because of their unique properties such as higher electrical conductivity and mechanical strength, sensor technologies, and biomedical applications, and because they can create coatings that make surfaces more hydrophobic or self-cleaning.

The widespread use of nanotechnology is relatively new. Since 2000, nanomaterials have been used industrially as new research and experimental designs have made their effectiveness in different sectors clear. For example, in the health field, nanotechnology helps to reduce diagnostic errors and to develop nanobots (microscale robots) to repair and replace intercellular structures, or repair DNA molecules; in the chemical sector, it facilitates coating devices with nanoparticles to improve their smoothness and heat resistance; in manufacturing, materials developed with nanotechnology enhance the performance of the final product by improving heat resistance, strength, durability, and electrical conductivity.

Groundbreaking research has revealed a new way to measure incredibly minute forces at the nanoscale in water, pushing the boundaries of what scientists know about the microscopic world.

The significant nanotechnology advance was achieved by researchers from Beihang University in China with RMIT University and other leading institutions including the Australian National University and University of Technology Sydney (Nature Photonics, “Sub-femtonewton force sensing in solution by super-resolved photonic force microscopy”).

The new technique, involving a super-resolved photonic force microscope (SRPFM), is capable of detecting forces in water as small as 108.2 attonewtons – a scale so minute that it compares to measuring the weight of a virus.