Machine learning for electrocatalyst and photocatalyst design and discovery
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …
reducing the impact of global warming, and providing solutions to environmental pollution …
The impacts of ocean acidification on marine ecosystems and reliant human communities
Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
Machine learning algorithm validation with a limited sample size
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other
technology-based data collection methods have led to a torrent of high dimensional …
technology-based data collection methods have led to a torrent of high dimensional …
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …
exploration of complex and dynamic biological processes. Instrument development has …
Machine Learning-Guided Development of Trialkylphosphine Ni(I) Dimers and Applications in Site-Selective Catalysis
TM Karl, S Bouayad-Gervais, JA Hueffel… - Journal of the …, 2023 - ACS Publications
Owing to the unknown correlation of a metal's ligand and its resulting preferred speciation in
terms of oxidation state, geometry, and nuclearity, a rational design of multinuclear catalysts …
terms of oxidation state, geometry, and nuclearity, a rational design of multinuclear catalysts …
A machine learning-based framework to identify type 2 diabetes through electronic health records
Objective To discover diverse genotype-phenotype associations affiliated with Type 2
Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide …
Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide …
[PDF][PDF] Machine learning in epidemiology and health outcomes research
TL Wiemken, RR Kelley - Annu Rev Public Health, 2020 - datascienceassn.org
Abstract Machine learning approaches to modeling of epidemiologic data are becoming
increasingly more prevalent in the literature. These methods have the potential to improve …
increasingly more prevalent in the literature. These methods have the potential to improve …
A Photochemical Strategy for the Conversion of Nitroarenes into Rigidified Pyrrolidine Analogues
Bicyclic amines are important motifs for the preparation of bioactive materials. These species
have well-defined exit vectors that enable accurate disposition of substituents toward …
have well-defined exit vectors that enable accurate disposition of substituents toward …
REVISE: A tool for measuring and mitigating bias in visual datasets
Abstract Machine learning models are known to perpetuate and even amplify the biases
present in the data. However, these data biases frequently do not become apparent until …
present in the data. However, these data biases frequently do not become apparent until …