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Informatics

Informatics

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Artificial Intelligence and Machine Learning

This page provides educational resources, events, news and products related to AI and ML. Content will cover aspects from how these technologies are benefitting science and the challenges and concerns, to the role they may play in the future.

Artificial Intelligence and Machine Learning – Highlights

Why the Future of Analytical Data Must Consider AI Principles content piece image

Why the Future of Analytical Data Must Consider AI Principles

In this article, Andrew Anderson, VP Innovation & Informatics Strategy at ACD/Labs argues why advances in data science need to be paired with AI data systems and why every future scientist should consider themselves a data scientist.

Ding Dong Merrily on AI: The British Neuroscience Association’s Christmas Symposium Explores the Future of Neuroscience and AI

A special Christmas symposium from the British Neuroscience Association (BNA) has reviewed the growing relationship between neuroscience and artificial intelligence (AI) techniques. The online event featured talks from across the UK, which reviewed how AI has changed brain science and the many unrealized applications of what remains a nascent technology.

The Future of Drug Discovery: AI, Automation and Beyond

In a recent interview with Technology Networks, Pieter Peeters, Leader of High Dimensional Biology and Discovery Data Sciences Group at Janssen Research & Development, discusses the evolution of artificial intelligence (AI), and how it can be used to discover, develop and test new drugs.

Industry Insight

How Can Artificial Intelligence Stop the Spread of Antimicrobial Resistance?

As we begin to see the light at the end of the COVID-19 pandemic, the threat of antimicrobial resistance has not gone away and remains a priority. Precision medicine company OpGen use molecular diagnostics and informatics to identify AMR before it can spread. To find out more, Technology Networks caught up with OpGen's CEO Oliver Schacht.

AI and the Lab of the Future

In this infographic, we explore some of the potential AI holds for the future of laboratory research.

Artificial Intelligence and Machine Learning – News and Features

New Tool Helps Translate What Neural Networks Need

While neural networks sprint through data, their architecture makes it difficult to trace the origin of errors that are obvious to humans, limiting their use in more vital work like health care image analysis or research.

3D Genome Folding Helps Preserve Identity When Cells Divide

A new MIT study proposes a theoretical model that helps explain how cellular memory is passed from generation to generation when cells divide.

Advances in CHO Cell Line Development for Biotherapeutics

A diverse array of biological medicines are now used to prevent and treat a wide range of illnesses. This article will discuss the development of cell lines in biopharma and will touch on key considerations, such as future manufacturability.

Industry Insight

Confident Metabolite Identification for Meaningful Results in Multiomics Analyses

In this interview, Technology Networks spoke to Heiko Neuweger, director of Bioinformatics Life Science Mass Spectrometry Software R&D at Bruker, to learn about the importance of target compound annotation and identification, the advantages of integrating collision cross section (CCS) information into workflows and the benefits of CCS-Predict Pro.

“Cooperative” Behavior in Electrolytes Can Significantly Boost Battery Performance

"Cooperative” behavior between complex mixtures in battery electrolytes could provide a new blueprint for future battery design, enabling the wider development of multivalent batteries.

Inability of Macrophages To Penetrate Tumors Could Explain Cell Therapy Failures

Macrophages, a type of white blood cell that can destroy invading pathogens, have an innate ability to infiltrate tumor cells, making them a potentially important tool in treatments that use transplanted cells to fight disease, known as cell therapy.

Artificial Intelligence and Machine Learning – Multimedia

Lab AI

Five Key Steps to Successful AI in the Lab

Brain-Inspired Nanowire Network Learns “On the Fly” for Efficient Machine Learning

An overhead shot of a variety of food items that are high in protein.

Exploring the Alternative Protein Food Source Landscape

Artificial Intelligence and Machine Learning – Webinars and Online Events

Agilent_Decemeber7th2023_The Impact of Reliable Automation in Translational Metabolomics_HostedbyTechnologyNetworks

The Impact of Reliable Automation in Translational Metabolomics

Miltenyi_November7th2023_Understanding the Role of Immune Cells in the Tumor Microenvironment_Hosted by Technology Networks

Understanding the Role of Immune Cells in the Tumor Microenvironment

10x genomics

Single-Cell Spatial Analysis Reveals Early Transcriptional Changes in Pancreatic Tumorigenesis

Related Products

Vials of blood.

Oxford Nanopore and Day Zero Diagnostics Partner To Develop a New Class of Bloodstream Infection Diagnostics

Pistoia Alliance Sets Out Strategic Priorities To Accelerate Sustainability, Adoption of AI, and Use of Fair and Real-World Data in R&D

Oxford Nanopore Technologies and Fabric Genomics Collaborate To Launch an Integrated Whole-Genome Sequencing Solution

Oxford Nanopore Meets Apple’s M3 Silicon Chip

CellXpress.ai Automated Cell Culture System - The Future of Cell Culture Backed by Machine Learning and Data-Driven Science

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