Artificial intelligence, or AI, is an umbrella term for machine learning and deep learning. It is where a machine takes in information from its surroundings and, from that, makes the most optimal decision appropriate to the situation.
In this interview conducted at SLAS EU 2023 in Brussels, Belgium, we spoke to Miguel Alcalde, a Research Professor at the CSIC, about directed evolution in enzymology and the wider biotechnology sector.
Insilico Medicine ("Insilico"), a clinical-stage end-to-end generative artificial intelligence (AI) drug discovery company, has achieved a significant breakthrough in the application of multiple generative AI models and AlphaFold structures for drug discovery.
Self-collected tests performed similarly to provider-collected tests for detecting common sexually transmitted infections (STIs), according to research presented today at the 2023 AACC Annual Scientific Meeting & Clinical Lab Expo. These findings could enable discreet new testing options that expand access to screening.
Using artificial intelligence to analyze tens of thousands of X-ray images and genetic sequences, researchers from The University of Texas at Austin and New York Genome Center have been able to pinpoint the genes that shape our skeletons, from the width of our shoulders to the length of our legs.
The UK firms harnessing the power of biology to deliver new medical therapies, means of recycling and environmentally-friendly food sources will be under the spotlight at Downing Street today (Wednesday 19 July) as science leaders and Ministers meet to unleash the full potential of the UK’s engineering biology sector.
By combining multiple advanced technologies into a single system, EPFL researchers have made a significant step forward in diagnosing neurodegenerative diseases (NDDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD).
According to new research published in Nature Biotechnology, artificial intelligence can predict on- and off-target behavior of CRISPR tools that target RNA rather than DNA.
At the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences, GAO Caixia’s group has introduced the use of artificial intelligence (AI)-assisted techniques to find out novel deaminase proteins with special functions via structural prediction and classification.
The amount of data generated by scientists today is massive, thanks to the falling costs of sequencing technology and the increasing amount of available computing power.
Anything with three hearts, blue blood and skin that can change colors like a display in Times Square is likely to turn heads.
Investigators are using artificial intelligence to start developing microorganism-led mechanisms that effectively “eat” products like food waste, wastewater, and animal manure to enhance the UK’s emerging green industry.
The first image of the structures that power human cilia – the tiny, hairlike projections that line our airways – has been produced by a team involving UCL researchers and could lead to much-needed treatments for people with rare cilial diseases.
Actin filaments -; protein structures critical to living movement from single cells to animals -; have long been known to have polarity associated with their physical characteristics, with growing "barbed" and shrinking "pointed" ends.
Australia’s national science agency, CSIRO, has invested $25 million up to 2027 in a new program that will harness the building blocks of life to solve intractable problems.
By anticipating the location of proteins within a cell, researchers might have access to a trove of biological knowledge. Future scientific discoveries related to drug development and the treatment of diseases like epilepsy will depend on this information.
Writing in the May 22, 2023 issue of Cell Systems, a diverse team of scientists, led by researchers at University of California San Diego School of Medicine, have produced a novel map that depicts the human body's enormously complicated and highly evolved system for addressing and repairing DNA damage -; a cause and consequence of many diseases.
A highly innovative artificial intelligence (AI) system identified protein patterns within individual cells with world-leading accuracy and speed.
Every year, plant diseases caused by bacteria, viruses, and fungi contribute to major economic losses. The prompt detection of these diseases is necessary to curb their spread and mitigate agricultural damage, but represents a major challenge, especially in areas of high-scale production.
University of Queensland researchers have used artificial intelligence to build a 3D map of key cell components to better understand dementia and infectious diseases including COVID-19.
A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.