AIMC Topic: Africa

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Using machine learning and big data to explore the drug resistance landscape in HIV.

PLoS computational biology Aug 26, 2021
Drug resistance mutations (DRMs) appear in HIV under treatment pressure. DRMs are commonly transmitted to naive patients. The standard approach to reveal new DRMs is to test for significant frequency differences of mutations between treated and naive...
Models, Genetic Databases, Genetic Decision Trees Bayes Theorem HIV Infections Anti-HIV Agents Computational Biology Logistic Models United Kingdom Epistasis, Genetic HIV Reverse Transcriptase Genes, Viral Mutation Supervised Machine Learning HIV-1 Drug Resistance, Viral Humans Africa Big Data
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Breast cancer risk prediction in African women using Random Forest Classifier.

Cancer treatment and research communications May 15, 2021
INTRODUCTION: One of the most important steps in combating breast cancer is early and accurate diagnosis. Unfortunately, breast cancer is asymptomatic at the early stage, although some symptoms are presented at a later time, but at symptomatic stage ...
Adult Breast Neoplasms Middle Aged Risk Assessment Africa Humans Machine Learning Female Risk Factors
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A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach.

Genes Dec 16, 2020
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open ques...
Computer Simulation Animals Africa Models, Theoretical Humans Machine Learning Racial Groups Asia Biological Evolution History, Ancient Europe Bayes Theorem Genetic Variation Genome, Human Human Migration Hominidae Neanderthals
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Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications.

Scientific reports Nov 2, 2020
Bone surface modifications are foundational to the correct identification of hominin butchery traces in the archaeological record. Until present, no analytical technique existed that could provide objectivity, high accuracy, and an estimate of probab...
Fossils Hominidae Humans Artificial Intelligence Animals Africa Europe Bone and Bones Tooth Archaeology
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Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy.

Proceedings of the National Academy of Sciences of the United States of America Oct 23, 2020
Taxonomic resolution is a major challenge in palynology, largely limiting the ecological and evolutionary interpretations possible with deep-time fossil pollen data. We present an approach for fossil pollen analysis that uses optical superresolution ...
Phylogeography Africa, Western Pollen Fossils Africa Neural Networks, Computer Microscopy Machine Learning South America Phylogeny
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The African wildlife ontology tutorial ontologies.

Journal of biomedical semantics Jun 23, 2020
BACKGROUND: Most tutorial ontologies focus on illustrating one aspect of ontology development, notably language features and automated reasoners, but ignore ontology development factors, such as emergent modelling guidelines and ontological principle...
Language Biological Ontologies Animals Animals, Wild Africa
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Seroprevalence of antibodies for pertussis and diphtheria among people leaving or entering China: a cross-sectional study.

Journal of infection in developing countries May 31, 2019
INTRODUCTION: Despite high population immunity, pertussis remains one of the leading causes of vaccine-preventable deaths worldwide. The aim of this study was to determine the seroprevalence of IgG antibodies to pertussis toxin (PT) and diphtheria am...
Travel-Related Illness Africa Whooping Cough China Seroepidemiologic Studies Adult Antibodies, Bacterial Asian People Cross-Sectional Studies Diphtheria Male Humans Employment Middle Aged Immunoglobulin G Pertussis Toxin Young Adult
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Insights and approaches using deep learning to classify wildlife.

Scientific reports May 31, 2019
The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to operatives in many fields, including wildlife conservation and management. To non-experts, the metho...
Africa Deep Learning Image Processing, Computer-Assisted Cluster Analysis Biodiversity Ecology Pattern Recognition, Automated Species Specificity Algorithms Reproducibility of Results Animals Animals, Wild Neural Networks, Computer Software Computer Graphics
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Artificial intelligence for diabetic retinopathy screening in Africa.

The Lancet. Digital health May 2, 2019
Africa Humans Deep Learning Diabetic Retinopathy Diabetes Mellitus Artificial Intelligence Mass Screening
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Predictive pollen-based biome modeling using machine learning.

PloS one Aug 23, 2018
This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets. We assign modern pollen samples from Africa and Arabia to five biome classes using a previously published Af...
Fossils Ecosystem Africa Logistic Models Support Vector Machine Neural Networks, Computer Algorithms Supervised Machine Learning Models, Statistical Climate Change Decision Trees Statistics, Nonparametric Bayes Theorem Pollen Discriminant Analysis
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