AIMC Topic: Models, Biological

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DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 10, 2021
Birds of prey especially eagles and hawks have a visual acuity two to five times better than humans. Among the peculiar characteristics of their biological vision are that they have two types of foveae; one shallow fovea used in their binocular visio...
Humans Fovea Centralis Eagles Image Processing, Computer-Assisted Models, Biological Video Recording Movement Vision, Binocular Neural Networks, Computer Algorithms Databases, Factual Animals
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Machine-learning model selection and parameter estimation from kinetic data of complex first-order reaction systems.

PloS one Aug 9, 2021
Dealing with a system of first-order reactions is a recurrent issue in chemometrics, especially in the analysis of data obtained by spectroscopic methods applied on complex biological systems. We argue that global multiexponential fitting, the still ...
Bacteriorhodopsins Computational Biology Machine Learning Flavin-Adenine Dinucleotide Bayes Theorem Software Kinetics Data Analysis Models, Biological Computer Simulation
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Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors.

Scientific reports Aug 2, 2021
The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario motivates careful study of the c...
Male Brazil Hospital Mortality Socioeconomic Factors Models, Biological Humans COVID-19 Machine Learning Female Pandemics SARS-CoV-2 Hospitalization
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Excipient knowledgebase: Development of a comprehensive tool for understanding the disposition and interaction potential of common excipients.

CPT: pharmacometrics & systems pharmacology Aug 1, 2021
Although the use of excipients is widespread, a thorough understanding of the drug interaction potential of these compounds remains a frequent topic of current research. Not only can excipients alter the disposition of coformulated drugs, but it is l...
Drug Interactions Knowledge Bases Cytochrome P-450 CYP3A Glycerol Excipients Humans Computer Simulation Models, Biological ATP Binding Cassette Transporter, Subfamily B, Member 1
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Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.

Biomechanics and modeling in mechanobiology Jul 31, 2021
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease-carotid artery stenosis (CAS), subclavian artery stenosis (SAS...
Peripheral Arterial Disease Aortic Aneurysm, Abdominal Models, Biological Regional Blood Flow Carotid Stenosis Subclavian Artery Databases, Factual Sensitivity and Specificity Severity of Illness Index User-Computer Interface Humans Neural Networks, Computer Machine Learning Algorithms
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Humans Artificial Intelligence Pandemics COVID-19 Prospective Studies Female Mobile Applications Adult Dyspnea SARS-CoV-2 Models, Biological Sensitivity and Specificity United Kingdom Aged Self Report Male Early Diagnosis Middle Aged Aged, 80 and over Chest Pain Epidemiologic Studies Adolescent Young Adult Anosmia
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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences Jul 28, 2021
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Data Accuracy Quantitative Structure-Activity Relationship Chemical and Drug Induced Liver Injury Sensitivity and Specificity Support Vector Machine Liver Models, Biological Humans Computer Simulation
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Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System.

Computational and mathematical methods in medicine Jul 27, 2021
Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. The / value is the gold standard of hemodialysis adequacy. However, / requires repeated blood drawing and evaluation; it is hard to monitor dialysis ad...
Kidney Failure, Chronic Feasibility Studies Models, Biological Quality of Health Care China Renal Dialysis Computational Biology Fuzzy Logic Humans Machine Learning Female Aged Male Middle Aged Hemodynamics
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A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.

CPT: pharmacometrics & systems pharmacology Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Middle Aged Humans Aged Drug Dosage Calculations Bayes Theorem Aged, 80 and over Machine Learning Adult Pharmacokinetics Models, Biological Anti-Bacterial Agents Male Vancomycin Female
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Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

PLoS computational biology Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Triple Negative Breast Neoplasms Cell Proliferation Antigens, CD Cell Count Epithelial-Mesenchymal Transition Tumor Microenvironment Biomarkers, Tumor Cell Line, Tumor Computational Biology Extracellular Matrix Biophysical Phenomena Cell Adhesion Cell Shape Adaptation, Physiological Cadherins Models, Biological Vimentin Neoplasm Metastasis Humans Machine Learning Female
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