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VirtualToxLab™ - In silico prediction of the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. Two years and 2,000 compounds of experience: a progress report

Angelo Vedani, Martin Smiesko, Morena Spreafico, Ourania Peristera et al. • ALTEX: Alternatives to Animal Experimentation (2009)

The VirtualToxLab™ is an in silico tool for predicting the toxic (endocrine-disrupting) potential of drugs, chemicals and natural products. It is based on a fully automated protocol and calculates the binding affinity of any molecule of int...

DOAJ Open Access (DOAJ) DOI: 10.14573/altex.2009.3.167

Dynamic monitoring of circulating tumor DNA reveals outcomes and genomic alterations in patients with relapsed or refractory large B-cell lymphoma undergoing CAR T-cell therapy

Wei Liu, Yan Xu, Yi Wang, Lugui Qiu et al. • Journal for ImmunoTherapy of Cancer (2024)

Background Over 50% of patients with relapsed or refractory large B-cell lymphoma (r/r LBCL) receiving CD19-targeted chimeric antigen receptor (CAR19) T-cell therapy fail to achieve durable remission. Early identification of relapse or prog...

DOAJ Open Access (DOAJ) DOI: 10.1136/jitc-2023-008450

Consumo de energia, emissões de co2 e a geração de renda e emprego no agronegócio brasileiro: uma análise insumo–produto

Marco Antonio Montoya, Cássia Aparecida Pasqual, Ricardo Luis Lopes, Joaquim José Martins Guilhoto • Economia Aplicada (2016)

The article evaluates the structure of Brazilian agribusiness in their components such as income, employment, sectorial energy consumption, and CO2 emissions. An energy matrix with 56 consumer sectors compatible with the 56 sectors of Brazi...

DOAJ Open Access (DOAJ) DOI: 10.11606/1413-8050/ea134600

COVID-19 Outbreak Prediction with Machine Learning

Sina Ardabili, Amir Hosein Mosavi, Pedram Ghamisi, Ferdinánd Filip et al. • Algorithms (2020)

Abstract Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simpl...

OPENALEX cc-by DOI: https://doi.org/10.3390/a13100249