Next generation genetics technology developed to counter the rise of antibiotic resistance
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Jun-2026 05:16 ET (13-Jun-2026 09:16 GMT/UTC)
Drug resistance has accelerated in recent years with the emergence of deadly bacteria and “superbugs.” In response to this global health crisis, UC San Diego biologists have developed a new CRISPR-based technology capable of removing antibiotic-resistant elements from populations of bacteria.
Cancer cells often invade different tissues by forming rounded protrusions called blebs. However, the exact mechanism behind this expansion remained unclear. Now, researchers at Kyushu University have discovered that cancer cells use protein clusters to create water pressure inside blebs, which pushes the cell membrane outward, enabling rapid movement. This newly identified mechanism, named “CaMKII-based osmotically-driven deformation or CODE,” reveals a unique physical process that drives the spread of cancer cells inside the body.
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.
Three-dimensional cancer organoids and spheroids are powerful models for studying tumor biology, but current imaging methods limit their full potential. In this study, researchers introduce an AI-enhanced optical coherence photoacoustic microscopy (OC-PAM) system that enables high-resolution, label-free, and longitudinal imaging of 3D cancer models. The technology promises more physiologically relevant cancer research and accelerated translation of advanced in vitro models into drug discovery and precision oncology.
Cancer research is undergoing a profound transformation. Advances in molecular and cellular biology, genomics, immunology, engineering, and computational science have reshaped our understanding of cancer as a complex, multiscale disease. Yet the gap between biological discovery and durable clinical benefit remains a central challenge. Addressing this gap increasingly requires integration across disciplines, technologies, and conceptual frameworks. Advanced Cancer Research is an international, peer-reviewed, open-access journal publishing original cancer research spanning basic, translational, and clinical investigation. The journal prioritizes studies that provide mechanistic depth, introduce conceptual or technological innovation, or offer system-level insight into cancer biology and therapy, with particular emphasis on work that bridges disciplinary boundaries and advances translational relevance.
Insilico Medicine announced its participation in the World Health Expo 2026 (WHX 2026), held from February 9–12 at the Dubai Exhibition Centre,Booth S19J30 (Emirates Health) at South Hall
Researchers at Arizona State University and their international colleagues have developed a device that cuts sample consumption by as much as 97% while still producing high-quality structural data. The technology could accelerate drug discovery by showing how medicines interact with their protein targets in real time and help engineers design better enzymes for industry and biotechnology. It may also enable deeper insights into disease, enable the study of rare proteins that are difficult to produce, and unlock the full potential of next-generation X-ray laser facilities without excessive sample waste.