A challenge to tuberculosis treatment regimen design is the need to combine three or more antibiotics. The study shows how machine learning can provide a data-driven perspective on this challenge, so researchers can consider new drug combinations to provide better treatments. The researchers believe this new approach will increase scientists’ ability to determine which drug…
It may be possible for clinicians to use artificial intelligence to identify patients who are most prone to experiencing harmful side effects when taking some common antidepressants, antihistamines, and bladder medications. In a study published in Age and Ageing, researchers from the Universities of Exeter and Kent and Medway NHS and Social Care Partnership Trust…
Scientists have developed a new CT technique using artificial intelligence (AI) to spot multiple myeloma-related bone diseases, using lower radiation doses than conventional CT, according to a study published in Radiology, a journal of the Radiological Society of North America. After nearly two decades of development, the technology was used in clinical practice in 2021….
A study at Rutgers University of dozens of artificial intelligence (AI) software programs used in precision medicine to prevent, diagnose, and treat disease discovered that there is not a single program that can be applied to all the treatments. The Rutgers study is among the first to investigate competing AI algorithms and software in genomics,…
Hospital for Special Surgery (HSS) researchers in New York City have developed a computer vision tool that effectively identifies rheumatoid arthritis (RA) from osteoarthritis (OA) in joint tissue collected from patients who had total knee replacements (TKR). The findings show that the new computer vision model with improved proficiency to differentiate rheumatoid arthritis from osteoarthritis…
PGDx Elio tissue complete, which the FDA has approved for the analysis of 505 cancer-related genes, will enable the development of more effective precision oncology treatment options. The researchers from Personal Genome Diagnostics Inc. (PGDx) explain the developmental and analytical validation processes of the PGDx elio tissue complete test. It is an automated NGS-based approach…
A new precision medicine tool ‘iSNP’ uncovers hidden genetic links that could enhance IBD and other difficult illnesses treatment. A group of scientists and clinicians from the Quadram Institute, the Earlham Institute, the Norfolk and Norwich University Hospital, and the University of East Anglia with collaborators in Cambridge, London and Leuven (Belgium) developed a systems…
An expert scientist affiliated with the Center for Discovery and Innovation and a colleague from Harvard T.H. Chan School of Public Health discussed the challenges and priorities in the anti-tuberculosis treatment strategies and drug development. The study published in Nature Reviews Microbiology this week suggests that the preclinical and clinical anti-tuberculosis treatment methodologies depicted in…
Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy. Scientists from the University of Michigan investigated the impact of a computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in measuring bladder cancer treatment response. The CDSS-T has the potential to increase…
The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10 million every year by 2051. Stanford University scientists developed machine learning models that predict antibiotic susceptibility patterns (personalized antibiograms) using electronic health record data. Personalized empiric antibiotic subscription with personalized antibiograms…
To estimate cell-to-cell heterogeneity in non-Markovian signaling systems, mathematicians from The Korea Advanced Institute of Science and Technology (KAIST) and Institute for Basic Science (IBS), Korea, devised a Bayesian inference approach. The approach could aid in the development of treatments that kill pathogenic or cancerous cells. Recognizing the source of cell-to-cell variability in cell signaling…
An international group of scientists has finally published the whole human genome sequence. The new reference genome fills in gaps left by previous versions, allowing researchers to understand better genetic variation and how it can contribute to disease in specific cases. The complete human genome sequence has already provided new perspectives to genome biology and…
Scientists from the National Cancer Institute, Bethesda, and the University of Maryland have developed a computational tool to determine gene-target combinations for personalized cancer therapies. The tool has the potential to aid in the creation of novel combinatorial treatments for cancer patients. For mining a vast cohort of single-cell transcriptomics information, the scientists utilize combinatorial…
In a report published in Nature Communications, researchers from the Department of Oncology-Pathology at Karolinska Institutet, Sweden established a cell line resource dataset and analysis tool ‘Functional Omics Resource of ALL (FORALL)’ that could be used to uncover the features that make specific leukemias vulnerable to new forms of targeted medicines. The researchers used proteomics,…
Preimplantation genetic testing (PGT) of embryos fertilized in-vitro has been proposed as a strategy to diminish transmission of common diseases; in any case, a more comprehensive embryo genetic assessment, joining the impacts of common variants and rare variants, stays inaccessible. In this study, the scientists used molecular and statistical techniques to infer inherited genome sequence…
Garvan Institute researchers have demonstrated how new genomic sequencing technologies might help individuals with uncommon neurological and neuromuscular conditions avoid a “diagnostic odyssey.” – A single DNA test capable of screening a patient’s genome for over 50 genetic neurological and neuromuscular diseases (e.g., Huntington’s disease, muscular dystrophies, and fragile X syndrome) has been developed. -…
In an integrated comparison with influenza and sepsis patients against healthy volunteers, the researchers show a complete multi-omic blood atlas for patients with different COVID-19 severity. Immune signatures and host response correlations are identified. Research describing markers of COVID-19 disease severity has been published by a multi-disciplinary, cross-divisional collaborative team led by the University of…
Machine learning may aid in repairing genetic damage and avoiding DNA mutations and chronic diseases. Scientists from Massachusetts General Hospital and the National Cancer Research Centre have created novel methods for seeing DNA repair in detail, using machine learning and high-throughput microscopy, and have discovered new repair proteins. The results might open the path for…
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