Imperial College London
Researchers at Imperial College London have found that machine learning can accurately predict treatment response in patients with complex health conditions, but only when comprehensive clinical phenotyping is present. The study, published in PLOS One, simulated a clinical trial to compare the effectiveness of machine learning with traditional analysis in
Imperial College London
Researchers at Imperial College London have found that machine learning can accurately predict treatment response in patients with complex health conditions, but only when comprehensive clinical phenotyping is present. The study, published in PLOS One, simulated a clinical trial to compare the effectiveness of machine learning with traditional analysis in
Imperial College London
Researchers at Imperial College London have found that machine learning can accurately predict treatment response in patients with complex health conditions, but only when comprehensive clinical phenotyping is present. The study, published in PLOS One, simulated a clinical trial to compare the effectiveness of machine learning with traditional analysis in
Imperial College London
Researchers at Imperial College London have found that machine learning can accurately predict treatment response in patients with complex health conditions, but only when comprehensive clinical phenotyping is present. The study, published in PLOS One, simulated a clinical trial to compare the effectiveness of machine learning with traditional analysis in
Genomics
Scientists at Imperial College London have developed a novel approach to efficiently predict and optimize metabolic models for biological discovery. By leveraging Boolean matrices and logic programs, the new system, [Formula: see text], guides cost-effective experimentation and encodes a state-of-the-art genome-scale metabolic network model. This breakthrough has the potential to
Cancer research
Ovarian cancer, a highly lethal malignancy, is often diagnosed at late stages and develops chemoresistance, making treatment a significant challenge. Existing preclinical models have limitations in recapitulating the structural and functional complexity of the ovarian tumour microenvironment. However, a new study from Imperial College London suggests that tumour-on-chip (CoC) technology
Nervous system diseases
Recent research has shed light on the concerns among former athletes about the link between head injury and dementia. Neurologists are increasingly assessing ex-contact sports athletes with cognitive and behavioral issues following repetitive head impacts and traumatic brain injury. A team from Imperial College London has developed a practical framework
Nervous system diseases
Research published in the Journal of Neurology, Neurosurgery & Psychiatry has found a strong association between contact sports, such as rugby union, and higher rates of neurodegenerative dementia. The study, funded by several organizations, including the Swedish State Support for Clinical Research and the Alzheimer's Society, used ultrasensitive
Diseases
Researchers at Imperial College London have raised concerns about the increasing problem of imposter participants in child and adolescent mental health research. Imposters are individuals who fake their identities or exaggerate their experiences to participate in research, potentially compromising the safety, privacy, and well-being of young participants and the data
Imperial College London
Researchers from Imperial College London and other institutions have developed a rapid diagnostic test called Dragonfly that can identify asymptomatic malaria cases, potentially tackling the spread of the disease. The test uses technology originally created at Imperial and its spinout ProtonDx, and can detect low levels of malaria parasites in
