2+ hour, 6+ min ago  (356+ words) This capability is critical across all areas of research, from investigating pathology to biomarker discovery and drug development, as cellular context directly influences functional outcomes. For laboratory scientists, integrating spatial proteomics into workflows offers a powerful tool for understanding tissue…...

13+ hour, 42+ min ago  (789+ words) Machine-Learning Models Help Study Immune System Responses'Technology Networks...

1+ day, 2+ hour ago  (227+ words) At a conceptual level, these models perform three core steps: Modern models often use transformer-based language architectures trained on millions of sequences. These systems treat amino acid sequences as biological text, generating protein embeddings that capture contextual relationships between residues....

1+ day, 13+ hour ago  (294+ words) "We discovered that macrophages carry a molecular memory of their local environment," explains Junping Yin, first author of the study. "Even after isolation, their gene activity still reflects which area of the kidney or brain they originate from. MERLIN makes…...

1+ week, 1+ day ago  (249+ words) Table 1: Comparison of common machine learning algorithms in proteomics. Support Vector Machines (SVM) Classification of disease states; PSM filtering Handles missing data well; provides feature importance scores. Can be slow to predict; less interpretable than linear models. Deep Neural Networks…...

1+ week, 5+ day ago  (864+ words) Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It takes practice to get…...

3+ week, 1+ hour ago  (144+ words) Atinary, announced the launch of its AI-powered laboratory in Boston, MA. The Atinary Lab marks a critical step in moving AI beyond simulation and software into the physical execution of science, enabling faster, more reliable discovery across chemistry, materials, and…...

3+ week, 3+ day ago  (77+ words) Genetics alone doesn't tell the full story " dynamic regulatory layers determine how genetic information is expressed. Genomic approaches miss these critical signals, leaving gaps in our ability to predict cellular changes. Watch this episode to understand how: Scientific Poster " Inferring…...

3+ week, 6+ day ago  (556+ words) Drug discovery pipelines are notorious for being costly, slow, and failure-prone, leading to AI and machine learning becoming more commonplace to accelerate progress and improve outcomes. Currently, machine learning in drug discovery centers around data-rich stages, which provide plentiful data…...

1+ mon, 2+ day ago  (379+ words) A federated AI framework integrates predictive drug discovery models directly into a widely used research platform. The approach lets teams apply advanced AI while keeping proprietary data private. announced a collaboration with Eli Lilly and Company (Lilly) that expands access…...