Lifeboat Foundation

Researchers have developed a groundbreaking system that uses bacteria to mimic the problem-solving capabilities of artificial neural networks.

Cell-based biocomputing is a novel technique that uses cellular processes to perform computations. Such micron-scale biocomputers could overcome many of the energy, cost and technological limitations of conventional microprocessor-based computers, but the technology is still very much in its infancy. One of the key challenges is the creation of cell-based systems that can solve complex computational problems.

Now a research team from the Saha Institute of Nuclear Physics in India has used genetically modified bacteria to create a cell-based biocomputer with problem-solving capabilities. The researchers created 14 engineered bacterial cells, each of which functioned as a modular and configurable system. They demonstrated that by mixing and matching appropriate modules, the resulting multicellular system could solve nine yes/no computational decision problems and one optimization problem.

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In 2012, 7-year-old Emily Whitehead became the first pediatric patient to receive pioneering chimeric antigen receptor (CAR-T) therapy to fight the recurrence of acute lymphoblastic leukemia (ALL). Twelve years later, Emily is in remission and a student at the University of Pennsylvania, where the therapy was developed. But for many others, the fight continues: more than half of ALL patients experience a relapse within one year following CAR-T therapy.

Nanomedicines have created a paradigm shift in healthcare.

The authors propose a framework to be followed during preclinical investigation of nanomedicines to increase their translatability potential.

In the popular tv show big bang theory kaon decay was discovered at cern that won sheldon cooper and Amy the Nobel prize in super asymmetry and this elusive particle has been discovered. What a remarkable discovery face_with_colon_three

Researchers at CERN have observed an exceptionally rare particle decay event, potentially paving the way to uncover new physics beyond the current understanding of fundamental particles and their interactions.

This decay is extraordinarily uncommon—according to the Standard Model ℠ of particle physics, which describes particle interactions, fewer than one in every 10 billion kaons undergo this specific decay.

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The study of computational biology is essential to understanding this transition. By exploring how life processes information, we gain insights into the nature of consciousness and intelligence itself. Computational models are key to revealing how systems organize, adapt, and evolve toward greater complexity and self-awareness. This progression suggests a future where intelligence is no longer bound by biological limitations but extends into the realm of artificial systems, creating a symbiotic relationship between humans and machines.

Ultimately, NOOGENESIS challenges traditional scientific paradigms by framing the universe as an informational “self-simulating” entity, where consciousness plays a central role in its evolutionary processes. The origins of life, the evolution of intelligence, and the potential for a post-Singularity future are all part of this grand narrative. By embracing this view, we can cultivate a more comprehensive understanding of the universe and our place within it—one that recognizes the fundamental role of consciousness in shaping reality and guiding evolution toward the apotheosis of Omega Singularity, the final convergence of intelligence and complexity.

Billions of years ago, Mars is hypothesized to have been a much warmer and wetter planet featuring active volcanoes and vast liquid water oceans. However, something happened that caused the Red Planet to become the cold and dry world we see and explore today, but where did its atmosphere go? This is what a recent study published in Science Advances hopes to address as a team of researchers from the Massachusetts Institute of Technology (MIT) investigated how the large amounts of carbon that once existed in Mars’ atmosphere could now exist in the clay across the planet’s surface. This study holds the potential to help scientists better understand the formation and evolution of Mars and what that means in the search for life on the Red Planet, and beyond Earth.

For the study, the researchers calculated the amount of carbon storage within clays that potentially existed during what’s known as the Noachian Period on Mars, or between approximately 3.6 to 4 billion years ago. Their hypothesis is that when liquid water existed on the Red Planet, this water could have seeped its way into rocks, resulting in carbon dioxide being removed from the atmosphere and being converted into methane. In the end, the researchers calculated that the clays on Mars could potentially be housing up to 1.7 bar of carbon dioxide, or just over one standard atmosphere’s worth of carbon dioxide and approximately 80 percent of Mars’ ancient atmosphere.

“Based on our findings on Earth, we show that similar processes likely operated on Mars, and that copious amounts of atmospheric CO₂ could have transformed to methane and been sequestered in clays,” said Dr. Oliver Jagoutz, who is a professor of geology in MIT’s Department of Earth, Atmospheric and Planetary Sciences (EAPS) and the sole co-author on the study. “This methane could still be present and maybe even used as an energy source on Mars in the future.”

Meet Barbara Di Ventura, an engineer turned synthetic biologist at the University of Freiburg, who explores protein dynamics across cell types. Outside of the laboratory, she moonlights as a musician. Di Ventura harmonizes her passion for art and science in musical abstracts, using a guitar to riff about her latest research, transforming scientific communication into a lively experience.

What inspired you to start creating musical abstracts?

I was inspired by Uri Alon, a systems biologist at the Weizmann Institute of Science, who played the guitar and sang songs about his group’s projects in an entertaining way. Then in 2021, we published a paper on a novel optogenetic tool for controlling gene expression in bacteria, and I had this vision to write a song about it.¹ We’re constantly asked to describe our work in new ways despite the numerous figures we produce. To me, writing song lyrics is easier than new text. The song “American Pie” came to mind, and it sounded cool with “Bye-bye, L-arabinose drive,” where L-arabinose is the normal inducer of this system.

Take a listen to this 7-min.

Podcast preview discussing the D-Theory of Time paper and the upcoming eBook release: The nature of time has long been a subject of profound inquiry within both the realms of physics and philosophy. This research paper introduces the “D-Theory of Time,” a novel conceptual framework that seeks to advance our comprehension of temporal mechanics. Departing from traditional paradigms, the D-Theory posits that time is not merely a linear progression of events but a dynamic, multidimensional construct influenced by both physical and cognitive phenomena. By integrating insights from quantum mechanics, relativity, and cognitive science, this theory offers a more holistic understanding of temporal flow and its implications on our perception of reality. Key elements include the exploration of temporal entanglement, the fluidity of past, present, and future, and the interplay between consciousness and temporal experience. This paper aims to elucidate the foundational principles of the D-Theory, provide empirical support through experimental data, and discuss its potential to resolve longstanding paradoxes in the study of time. The D-Theory of Time represents a significant upgrade to our understanding of temporal mechanics, opening new avenues for research and philosophical contemplation.

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Mental health issues are one of the most common causes of disability, affecting more than a billion people worldwide. Addressing mental health difficulties can present extraordinarily tough problems: what can providers do to help people in the most precarious situations? How do changes in the physical brain affect our thoughts and experiences? And at the end of the day, how can everyone get the care they need?

Answering those questions was the shared goal of the researchers who attended the Mental Health, Brain, and Behavioral Science Research Day in September. While the problems they faced were serious, the new solutions they started to build could ultimately help improve mental health care at individual and societal levels.

“We’re building something that there’s no blueprint for,” said Mark Rapaport, MD, CEO of Huntsman Mental Health Institute at the University of Utah. “We’re developing new and durable ways of addressing some of the most difficult issues we face in society.”