disease: machine learning-based models outperform radiologists!
Time of Update: 2021-03-18
In summary, CTE-based RM can more accurately identify intestinal fibrosis in patients with Crohn's disease than radiologists.
A global survey of machine learning applications in neurosurgery
Time of Update: 2021-03-05
The study analyzed an overview of ML's use in global neurosurgery, which can better interpret imaging data, predict prognosis and complications, improve patients' quality of life and surgical satisfaction, and improve diagnostic and surgical decision-making.
Machine learning successfully simulates and predicts the spread of influenza
Time of Update: 2021-02-24
Using a model of infectious disease transmission calibrated based on hospital registration and inspection data, they used the mobile map to successfully simulate "forecasting" flu activity in and around New York City from 2016 to 2017.
Nat Commun: Machine learning aids drug reuse to treat Alzheimer's disease
Time of Update: 2021-02-24
in the absence of effective prevention and treatment programmes. in addition to the direct impact on human health and well-being, long-term care for affected individuals also poses a significant financial burden. are working to develop AD's
Cell Portal Protein Working Machine "Unlocked"
Time of Update: 2021-02-15
chloride co-transporter protein KCC1, revealed the binding points of potassium ions and chlorine ions on the cell membrane protein, and proposed the potassium-chlorine cotranser transporter, which provided a new perspective for the treatment and drug
JAMA Netw Open: Are blood CD4 plus T cell counts and viral loads associated with cognitive impairment risk in HIV patients?
Time of Update: 2021-01-22
Despite the wider use of antiretroviral combination therapy (cART), HIV-1 infection remains a global public health challenge. , even in chronically infected patients treated, neurocognitive disorders often persist, affecting quality of life
JAMA Psy: Machine learning identifies risk factors for suicide attempts
Time of Update: 2021-01-17
Using the survey questions in the first interview, the suicide attempt risk model produced a cross-validated subject operator characteristic curve with an area of 0.857, with a sensitivity of 85.3% and a specificity of 73.3% at the optimized threshold.
Feature Selection and Machine Learning with Mass Spectrometry Data
Time of Update: 2021-01-04
In spite of its potential for biomarker discovery, it is recognized that the identification of meaningful proteomic features from mass spectra needs careful evaluation.
ATVB: Lower HDL cholesterol levels were associated with higher exo-white blood cell counts
Time of Update: 2021-01-01
In genetic analysis using anti-variance weighted analysis for age and gender correction, genetically determined HDL cholesterol decreased by 1mmol/L (39 mg/dL) and white blood cells increased by 2.2% (95% CI by 0.3% to 4.1%), and lymphocytes increased by 4.3%.
JCM: Machine learning predicts ecMO's risk of brain damage in children.
Time of Update: 2020-10-14
don't have definitive data to determine which factors are responsible for ECMO-causing brain damage," said Dr. Lakshmi Raman, an associate professor of pediatrics and lead researcher on the study. we can't completely eliminate these injuries
Blood: Machine learning reveals the correlation between MDS genotypes and morphological characteristics.
Time of Update: 2020-10-12
study sequenced 1,079 MDS patients and analyzed bone marrow morphological changes and other clinical features.
Progress has been made in the study of the activity of natural products based on machine learning.
Time of Update: 2020-10-10
machine learning algorithm analyzes the molecular structure, physical and chemical properties and biological activity data of existing natural products, and establishes a predictive model of the activity of natural products.
Alzheimer's and Dementia: iSTAGING Alliance: Machine learning reveals links between brain aging, whiteness disorders, amyloid protein burden and cognition.
Time of Update: 2020-10-05
Most recently, researchers studied the relationship between typical aging brain atrophy patterns and Alzheimer's disease (AD), white disease, cognition, and AD neuropathology through machine learning in a large, unified magnetic resonance imaging database (11 studies; 10,216 subjects).
bioRxiv: Discover potentially nalization antibodies to new coronavirus using machine learning.
Time of Update: 2020-10-02
at Carnegie Mellon University's Department of Mechanical Engineering, Amir Barati Farimani developed algorithms that can infer, learn, and predict mechanical systems based on data.
Scientists use living cells to create machine fish.
Time of Update: 2020-09-15
Kevin Kit Parker, 's project leader and a Harvard bioengineering scientist, said the researchers used gold to make a flexible "skeleton" with fins made of silicone on top and 200,000 mouse heart muscle cells at the top.
Heavy! "Stem cell and transformation research", "protein machine and life process regulation
Time of Update: 2020-09-15
to form a national key research and development plan. of June last year, a number of key research and development programs focused on the 2016 project officially unveiled the "veil." month after the launch, the national key research
In the first half of 2020, clinical and financing situation in the field of regenerative medicine such as cells and genes will be counted.
Time of Update: 2020-09-11
the first half of 2020, five gene and cell therapy companies successfully IPO: Nanjing Legends: founded in 2014, dedicated to cancer-related CAR-T therapy development.