TransAMR: an interpretable transformer model for accurate prediction of antimicrobial resistance using antibiotic administration data

M Tharmakulasingam, W Wang, M Kerby… - IEEE …, 2023 - ieeexplore.ieee.org
Antimicrobial Resistance (AMR) is a growing public and veterinary health concern, and the
ability to accurately predict AMR from antibiotics administration data is crucial for effectively …

Prediction of antimicrobial resistance of Klebsiella pneumoniae from genomic data through machine learning

C Condorelli, E Nicitra, N Musso, D Bongiorno… - Plos one, 2024 - journals.plos.org
Antimicrobials, such as antibiotics or antivirals are medications employed to prevent and
treat infectious diseases in humans, animals, and plants. Antimicrobial Resistance occurs …

Trans AMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance using Antibiotic Administration Data

T Mukunthan, W Wenwu, K Michael, R Roberto Lo… - 2023 - repo.lib.jfn.ac.lk
AntimicrobialResistance (AMR) isagrowingpublicandveterinaryhealthconcern, andthe abilitytoaccuratelypredictAMRfromantibiotic…
managinginfections. Whilegenomics-basedapproachescanprovidebetterresults …

Detection of new candidate compounds against four antibiotic targets using explainable artificial intelligence by molecular fingerprints

KK Kırboğa, NA Ghafoor, Ö Baysal - International Journal of … - dergipark.org.tr
Antibiotic resistance is a threat that renders bacteria ineffective against antibiotics and
makes it difficult to treat infections. Therefore, finding new target compounds is essential in …

[PDF][PDF] DOMAIN ADAPTATION FOR ANTIBIOTIC RESISTANCE CLASSIFICATION WITH MALDI-TOF DATA

L Aro-Sati - libstore.ugent.be
Antimicrobial Resistance (AMR) is one the biggest health threats and tackling this problem is
essential as it is also an economic and security threat that will cost cumulatively about 100 …