Scientific Computing World is hosting a virtual roundtable in February for research leaders, scientists and R&D experts in drug discovery, particularly those working with new modalities, such as RNA therapeutics, gene therapies, ADCs (Antibody Drug Conjugates) and protein degraders.

In today’s rapidly evolving technological landscape, scientific computing is at the forefront of innovation, driving discoveries across various disciplines. From life sciences to engineering, advancements in high-performance computing (HPC), laboratory informatics, quantum computing, and ...

Computational science has progressed steadily over the past decade. Improvements in computing performance allow us to model much more complex chemical, biological, and materials systems, and to understand increasingly large quantities of data. But these advances require finesse, as well as power ...

The power of scientific computing is changing our world. Breakthroughs is a unique, year-round series of interviews and events with the thought leaders spearheading that innovation across five distinct areas.

1 day ago · Standardising analytical data is the key to unlocking AI-driven innovation in chemical and pharmaceutical research. Richard Lee, Director, Core Technology and Capabilities at ACD/Labs explores how overcoming data fragmentation can accelerate discovery, improve collaboration, and future-proof laboratory workflows

Jan 30, 2025 · As part of a series of articles based on a recent online roundtable event entitled ‘From research to manufacturing: Overcoming data challenges in the drug development cycle’, hosted by Scientific Computing World, we asked our panellists about how better data policies in drug development can lead to better process optimisation and technology transfer.

The convergence of artificial intelligence (AI) and high-performance computing (HPC) promises to transform the scientific computing landscape, with its potential to enable research groups to tackle challenges that would otherwise have been beyond their capabilities.

As part of a series of articles based on a recent online roundtable event entitled ‘From research to manufacturing: Overcoming data challenges in the drug development cycle’, hosted by Scientific Computing World, we asked our panellists about how the shift to in silico experiments has changed the data landscape in drug development.. Moritz von …

The confluence of data, compute power and advances in the design of algorithms for AI (artificial intelligence) and ML (machine learning) are driving new approaches in the laboratory.

Sabrina Maniscalco discusses the use of quantum computing in life sciences and how IBM is opening up new opportunities for developers of quantum technology and making it easier for users to access quantum computing Register with Scientific Computing World and gain unparalleled access to premium ...