Artificial intelligence, generative AI, and agentic systems are rapidly reshaping enterprise technology, and nowhere is this ...

Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...

Abstract: Real-world dynamic systems often exhibit time-varying behavior. While state space models (SSMs) have shown great potential for sequence modeling, especially in capturing long-range ...

Abstract: For group containment control (GCC) problem, the presence of multiple subgroups and multiple leaders in each subgroup poses challenges for topology selection and problem analysis. This paper ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Microbial systems offer distinct advantages in protein expression, saving costs and time, and offering well-characterized host genetics and ease of scale-up. 2 However, challenges remain in process ...

Funding fuels expansion of the country’s most established developmental therapy model. Series C round led by aMoon Fund, B Capital and Flare Capital Partners with participation from Healthworx, ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

Genetically-humanized FcRn mice provide translational pharmacokinetics (PK) and pharmacodynamics (PD) data for antibody-based therapeutics. The image illustrates a therapeutic antibody (blue) adhering ...