Archived Intelligence
For patients with chronic lymphocytic leukaemia, relapse has historically presented a daunting hurdle. A new review of ten studies indicates that retreating patients with venetoclax is highly effective, offering a second chance at deep remission.
A new computational model maps how fear memories shift across brain networks overnight. This framework connects basic neurobiology with the mechanisms behind anxiety, offering new ways to simulate and understand trauma.
Researchers have analysed two decades of data to find the best drug combinations for treating a rare brain cancer. By personalising heavy-hitting chemotherapy and follow-up treatments, long-term remission is becoming a reality.
Researchers have demonstrated that using complex mathematical functions can collapse notoriously difficult multireference quantum states into a single determinant. While traditional methods strictly require multideterminant wave functions, the new approach offers high accuracy for specific configurations with a streamlined mathematical framework.
Researchers combined comparative transcriptomics and genomic profiling to explain why a notoriously severe hospital superbug rarely causes severe disease in China. The study reveals that the Asian lineage possesses the genetic hardware for high virulence but actively suppresses its expression.
Chemists have trapped active catalysts inside microscopic cages to stop them from interfering with sorting chemicals. This allows them to efficiently convert and separate mirrored drug molecules without the usual chemical chaos.
Researchers have trained a Transformer-based AI to analyse standard MRI scans and predict how well rectal cancer will respond to radiotherapy. This could allow doctors to skip ineffective treatments and personalise patient care.
Researchers have developed a dual-metal catalyst system using copper and iron to build complex indole molecules in a single step. This efficient process eliminates the need to pause and purify intermediate chemicals, saving time and resources.
Researchers have discovered that large brain size and restricted geographic ranges are major liabilities for mammals facing human-driven habitat loss. This trait-based approach could help conservationists identify and protect vulnerable species before their populations critically decline.
By engineering carbon quantum dots to emit naturally spiralling light, researchers have created an intrinsic liquid polariser. This material bypasses the need for energy-draining screen filters, doubling spatial resolution in early prototypes.
A new preliminary study combines hybrid AI models with generative text-to-speech to interpret Indian Sign Language gestures with high accuracy. While still awaiting peer review, this system hints at a future where real-time, natural communication flows seamlessly between deaf and hearing communities across India.
Researchers have successfully shielded fragile, light-emitting perovskite crystals inside microscopic boron nitride tubes. This robust armour prevents the materials from degrading during manufacturing processes, offering a durable new building block for flexible assemblies and nanoscale photonic devices.