GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

Closely related bacterial species use different strategies to build their cell walls, an international team of scientists led ...

Cancer does not develop overnight. It can take decades for cancer‐promoting changes in the genome to eventually lead to the ...

This paper proposes an improved generalized multiple-vector-based model predictive control (IGMV-MPC) method for permanent magnet synchronous motor (PMSM) drives. Different from finite-control-set MPC ...

Researchers from more than 50 international institutions have launched Open Problems ( a collaborative open-source platform ...

Three-dimensional (3D) imaging is essential for investigating cellular structure and dynamics. Traditional optical methods ...

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts for therapeutic applications.

Mechanistic models are prominent mathematical tools that are used to characterize epidemics. In this paper, we propose a generalized mechanistic model with eight states characterizing the COVID-19 ...

Objective: We aim to develop an unsupervised approach using general vision foundation models trained on diverse and extensive imaging datasets to extract rich visual features for cell-analysis across ...

Researchers from Lifordi Immunotherapeutics Inc. have developed a novel antibody-drug conjugate (ADC) called LFD-200 that aims to selectively deliver a potent glucocorticoid (GC) payload directly to ...