Say goodbye to everything we knew about our brain: scientists discover how it creates, stores and retrieves memories lifeboat.com/blog/2025/05/s…

Could ‘pausing’ cell death be the final frontier in medicine on Earth and beyond? lifeboat.com/blog/2025/05/c…

Humans will achieve immortality by 2030, says futurist lifeboat.com/blog/2025/06/h…

New ‘Mind-Reading’ AI Predicts What Humans Will Do Next, And It’s Shockingly Accurate lifeboat.com/blog/2025/07/n…

Breakthrough gene therapy jab reverses hearing loss in weeks lifeboat.com/blog/2025/07/b…

Surprising finding could pave way for universal cancer vaccine lifeboat.com/blog/2025/07/s…

Nearly 3,000 People Tried a Four-Day Workweek With No Pay Cut and the Results Were Great lifeboat.com/blog/2025/07/n…

A $2 gold nanotech test that detects deadly diseases in minutes lifeboat.com/blog/2025/08/a…

The era of reversing aging at the cellular level is beginning A biotech company called Life Biosciences is working on something pretty amazing: therapies that literally rejuvenate cells by partially reprogramming their epigenome with Yamanaka factors. In mice, their drug ER-300

Scientists just found a protein that reverses brain aging lifeboat.com/blog/2025/08/s…

Tea, coffee, and matcha aren’t the same for longevity lifeboat.com/blog/2025/08/t…

Generation of protein dynamics by machine learning 1. Machine learning, particularly generative models, is revolutionizing the prediction of protein dynamics by enabling the generation of structural ensembles beyond traditional simulations. This review highlights emerging

Under or over? Automated technique can visualize and measure DNA tangles lifeboat.com/blog/2025/08/u…

Tiny chip could unlock gamma ray lasers, cure cancer, and explore the multiverse lifeboat.com/blog/2025/08/t…

New human genome map could transform medicine lifeboat.com/blog/2025/08/n…

Researchers have re-imagined Bayes' rule for the quantum age. bit.ly/4fVJtbS

Data-Driven Discovery of Digital Twins in Biomedical Research 1. This article explores the use of data-driven methods to create digital twins of biomedical systems, which can guide drug discovery and personalized therapeutics. The authors review existing methodologies for

ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology 1. Shawnak Shivakumar and Matthew Sandora introduce ImmunoAI, a groundbreaking machine learning framework that

MolEncoder: Towards Optimal Masked Language Modeling for Molecules 1. A new study explores how to improve the prediction of molecular properties using machine learning models, particularly those based on transformer architectures inspired by natural language processing

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration 1. Choi et al. introduce CBYG, a novel framework that extends Bayesian Flow Networks with gradient-based conditional generation to guide 3D molecular