Scientific Computing World

Editor's picks

Simulation supports autonomous system development

Modelling and simulation software are helping develop new autonomous systems across multiple industries, explains Gemma Church

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Analysis and opinion

2023: make or break for life science computing

Dr Markus Gershater, Co-Founder and Chief Science Officer at Synthace, presents his predictions for the life science industry in the next 12 months

Life Sciences

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Webcast

A Cautionary Tale for AI in Small Molecule Drug Discovery

Despite the buzz around artificial intelligence (AI), most industry insiders know that the use of machine learning (ML) in drug discovery is nothing new. For more than a decade, researchers have used computational techniques for many purposes, such as finding hits, modelling drug-protein interactions, and predicting reaction rates.

drug discovery, AI

News

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Quantum Computing

Research reveals how quantum computing can simulate materials

29 March 2023

New quantum algorithms are enabling materials research on error-corrected quantum computers

News

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space

HPC Software supports cosmic exploration

24 March 2023

Teams of researchers from Argonne and Lawrence Berkeley National Laboratories have developed cosmological simulation codes ready to translate streams of data observational data into new insights

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Quantum Computing

NERSC to evaluate neutral-atom quantum technology

23 March 2023

A partnership aims to explore the use of quantum computing in quantum dynamics, chemistry, and high-energy physics

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drug discovery

Collaboration aims to advance the discovery of novel cancer drugs

23 March 2023

Targeted protein degradation discovery programme to harness artificial intelligence to identify new E3 Ligase-based therapeutic strategies

Analysis & opinion

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Life Sciences

How design of experiments lowers costs in R&D

29 March 2023

DOE can help organisations, laboratories, and individual researchers cost-effectively answer critical biological and commercial questions, writes Dr Markus Gershater

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Life Sciences

2023: make or break for life science computing

12 February 2023

Dr Markus Gershater, Co-Founder and Chief Science Officer at Synthace, presents his predictions for the life science industry in the next 12 months

Analysis & opinion

Genomics

Predicting infection

22 January 2023

Dr Eddie Cano-Gamez discusses how machine learning is helping researchers to classify patients with sepsis, leading to more effective, personalised treatments

Genomics

Managing change in genomics

22 January 2023

Dr James McCafferty discusses how changes to the interface between science and technology are shaping future genomics research

Credit: ECP

Exascale

Exascale legacy

02 December 2022

The Exascale Computing Projects, Doug Kothe, discusses the lasting impact of exascale development

Features

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Quantum

Accelerating skills development in advanced computing

10 March 2023

Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for scientists and engineers.

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Precision Medicine

The power of precision

04 March 2023

AI is helping to shape the future of precision medicine, writes Robert Roe

Features

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semiconductor

Processor competiton heats up

25 February 2023

Delays and increased competition in the processor market are leading to competitive new hardware, writes Robert Roe

Simulation supports autonomous system development

17 February 2023

Modelling and simulation software are helping develop new autonomous systems across multiple industries, explains Gemma Church

Credit: Gorodenkoff/Shutterstock

Cloud Computing

Is moving software to the cloud right for your lab?

14 January 2023

A recurring issue with companies looking to migrate their LIMS and other lab software into the cloud, is that a lot of that hardware or software may be very specialised. It may also have become embedded into the existing lab network, and so is difficult to disentangle, explained James Pena, product manager, digital science at Thermo Fisher Scientific.

Resources

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Cloud

AWS & TetraScience: 500 Pharma Executives Research Survey

Don't miss out on our AWS & TetraScience: 500 Pharma Executives Research Survey. See what pharma executives have to say about the need to replatform scientific data to the cloud.

Credit: DALL·E

digital transformation

What’s involved in a data transformation for Life Sciences

Planning and implementing a data transformation is not easy, especially in the highly regulated life sciences industry - a deep understanding of the industry, its processes, and regulations is required.

Automation

Manual No More: Automating the Scientific Data Lifecycle

Some 50-80% of research scientists' and data scientists' time is spent wrestling with data before they can focus on higher value AI/ML and advanced analysis to help bring new life-saving therapeutics to market.

Press releases

Solution Accelerators for biotech research

29 March 2023

Benchling has announced new products and services focused on driving long-term success in the modern R&D lab.

Veterinary LIMS available with LIMS starter systems release

26 March 2023

Autoscribe Informatics has announced the latest release of its starter systems. The 4Q22 release includes an improved Veterinary LIMS starter system, two updated modules for Matrix Gemini LIMS, aliquots and derivatives, and improved security groups.

Partnership aims to bring pharmaceutical products to market quicker

23 March 2023

New MultiDose system saves lab technicians up to six hours per experiment