All Artificial Intelligence & Machine Learning articles – Page 6
-
NewsInsilico Medicine deploys the first bipedal humanoid AI scientist in fully-robotic drug discovery laboratory
Insilico Medicine, a clinical-stage biotechnology company pioneering generative AI for drug discovery and development, has announced the deployment of the first bipedal humanoid in its AI-powered fully-robotic drug discovery laboratory.
-
NewsHerpesviruses may contribute to Alzheimer’s disease via transposable elements
Researchers have outlined the pathway human herpes simplex virus-1 (HSV1) can use to contribute to Alzheimer’s disease in aging brains, and also share two FDA-approved, commercially available drugs that reverse this pathway in a laboratory setting.
-
NewsMonitoring approach could help snuff out Legionella outbreaks
Routine, relatively low-cost monitoring of several factors influencing water safety could ward off Legionnaires’ disease outbreaks in hospitals, nursing homes and other health care settings, a new study suggests.
-
NewsUse of AI-driven science could yield unexpected consequences for the healthcare sector, paper warns
Unexpected consequences may arise if scientific conclusions formed using AI-driven data are applied to the healthcare sectors, a new opinion piece warns.
-
NewsResearchers unlock new potential porcine virus treatment
Researchers have identified a novel small molecule for the development of preventative treatment for porcine reproductive and respiratory syndrome virus (PRRSV).
-
NewsUncovering two rare infectious diseases which might be responsible for COVID-19
A study has adopted a more-advanced AI technique that revealed two rare infectious diseases might be involved in causing the emergence of COVID-19. The machine learning technique is also important to be used for other biomarker studies.
-
CareersHow frontline innovation from military labs can fight antimicrobial resistance worldwide
CEO at Presymptom Health, Dr. Iain Miller reveals how research in military laboratories - born out of battlefield demands - is now yielding innovative tech that allows for faster and more accurate detection of infections, even before symptoms appear.
-
NewsBacteria, brains, and sugar: scientists uncover new connections
Using a new method to study how carbohydrates modify proteins, scientists have discovered that gut bacteria can alter molecular signatures in the brain.
-
NewsStudents tackle drug resistance by teaching machine learning
Researchers using machine learning to predict drug resistance in patients have published a step-by-step machine learning tutorial for beginners.
-
NewsBreakthroughs in TB vaccine and drug development pave way for global health advancements
An international team of researchers unveils groundbreaking progress in TB vaccine development and therapeutic innovations, offering hope to curb the disease’s devastating impact.
-
NewsAI accelerates the search for new tuberculosis drug targets
A novel biotechnology was developed to utilize artificial intelligence (AI) as a high-throughput way to identify more effective antimicrobial candidates to treat the multi-drug resistant Mycobacterium tuberculosis and understand their underlying modes of action.
-
FeaturesArchaea: taking biocatalysis to the extreme
Despite increasing interest, archaea remain hugely understudied in comparison to their bacterial counterparts.
-
NewsLancaster University spinout secures funding to advance healthcare diagnostics
Lancaster University spin out CCI Photonics has secured significant funding to develop its diagnostic technology, which aims to improve healthcare outcomes by using AI to detect infectious diseases and determine patients’ antibiotic susceptibilities in under 15 minutes.
-
NewsNew study finds social programs could reduce the spread of HIV by 29%
Researchers have found that addressing barriers to HIV care from depression, homelessness, individual and neighborhood poverty, education disparities, lack of insurance and unemployment could reduce the national HIV incidence by 29% over 10 years.
-
NewsExplainable deep learning model provides new understanding of harmful algal blooms in China’s lakes and reservoirs
Researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China, offering insights into their underlying drivers and potential mitigation strategies.
-
NewsFeeding your good gut bacteria through fibre in diet may boost body against infections
Researchers who used computational approaches to analyse the gut microbiome composition of over 12,000 peoplefrom their stool samples found that a person’s microbiome ‘signature’ can predict whether their gut is likely to be colonised by Enterobacteriaceae.
-
NewsHarnessing AI to respond to the global threat of antimicrobial resistance
An international team of researchers has created an AI tool to bridge critical gaps in knowledge needed for informal policy development in AMR and to assist in the preparation of National Action Plans.
-
NewsCanceling effect of genetics and environmental changes on bacterial growth
In this study, high-throughput biological experiments and machine learning data analysis were conducted to investigate the impact of gene-chemical interactions on bacterial growth.
-
OpinionSharing microbial sequence-based data: The way forward
Public sector data associated with health are a highly valuable resource, yet in practice data-sharing poses multiple challenges. Dr Nicola Holden, from AMI’s One Health Scientific Advisory Group, explores the murky morass of big data.
-
NewsA new approach to predicting malaria drug resistance
Researchers analyzed the genomes of hundreds of malaria parasites to determine which genetic variants are most likely to confer drug resistance.