Lifeboat Foundation

Dr. ryan brinkman-vice president and research director, dotmatics

Scientists have long been perceived and portrayed in films as old people in white lab coats perched at a bench full of bubbling fluorescent liquids. The present-day reality is quite different. Scientists are increasingly data jockeys in hoodies sitting before monitors analyzing enormous amounts of data. Modern-day labs are more likely composed of sterile rows of robots doing the manual handling of materials, and lab notebooks are now electronic, in massive data centers holding vast quantities of information. Today, scientific input comes from data pulled from the cloud, with algorithms fueling scientific discovery the way Bunsen burners once did.

Advances in technology, and especially instrumentation, enable scientists to collect and process data at an unprecedented scale. As a result, scientists are now faced with massive datasets that require sophisticated analysis techniques and computational tools to extract meaningful insights. This also presents significant challenges—how do you store, manage, and share these large datasets, as well as ensure that the data is of high quality and reliable?

A dazzlingly fast chatbot cannot replace the authentic and reflective voice of a thinking, living human being.

It squats on the Las Vegas skyline like an enormous spaceship, black and mysterious – until night falls, when it will glow like the Earth from space.

The MSG Sphere won’t open to the public for almost three more months, when U2 christens the entertainment venue with a series of concerts. But anticipation is growing.

Continue reading “This futuristic concert venue in Las Vegas is a giant sphere with the world’s biggest LED screen” »

Real-time tumor profiling can guide surgical, treatment decisions.

The first endovascular neural interface, the Stentrode™ is a minimally invasive implantable brain device that can interpret signals from the brain for patients with paralysis. Implanted via the jugular vein, the #Stentrode is placed inside the #brain in the command-control center, known as the motor cortex, but without the need for open brain surgery. The signals are captured and sent to a wireless unit implanted in the chest, which sends them to an external receiver. We are building a software suite that enables the patient to learn how to control a computer operating system and set of applications that interact with assistive technologies. This #technology has the potential to enable patients with paralysis to take back digital control of their world, without having to move a muscle.

Synchron is currently preparing for pilot clinical trials of the Stentrode™ to evaluate the safety and efficacy of this breakthrough technology.

Continue reading “Synchron Stentrode: Brain Computer Interface for Paralysis” »

Fight fibromyalgia fatigue, pain, and stress with these tips from WebMD. See how to get the rest you need, talk with your family, get energy from exercise, and more.

Duke University Science and Technology scholar Trudy Oliver, Ph.D, has made progress with small cell lung cancer by systematically profiling it. For the past 30 years, all patients with the disease have been treated the same, with chemotherapy. In the last handful of years, Oliver and other researchers have shown that they can divide the disease into at least four different subtypes, each of which responds differently to treatment.

Type 1 diabetes (T1D) is an autoimmune disease linked to helper T-cell recognition in non-obese diabetic (NOD) mice and humans. Moreover, T1D affects the endocrine pancreas, thus causing patients to be dependent on insulin replacement therapy for the rest of their lives. Monitoring disease progression through peripheral blood sampling could provide insights into the immune-mediated mechanisms of T1D.

In a recent study published in Science Translational Medicine, researchers profile antigen-specific helper clusters of differentiation 4-positive (CD4+) T-lymphocytes to determine anti-islet autoimmunity among mice and humans.

The latest iteration of Intel’s cluster scheduling support for x86 hybrid P/E-core CPUs were posted on Friday in seeking to enhance the performance of some workloads under Linux when running on recent Intel Core processors.

Earlier this year Intel posted a new round of Linux cluster scheduling patches after their original implementation I found to be causing regressions and hurting performance at the time with Alder Lake when their original cluster scheduling work was being tackled in 2021. With the 2023 incarnation things appear to be in much better shape.

In June were the v2 patches and on Friday succeeded by a third version. This newest version simplifies how the sibling imbalance is computed and removes the asym packing bias, rounding is added to the sibling imbalance, and some basic changes.