Enhancing Alzheimer's disease classification with a transformer-based model using self-supervised learning. [PDF]
Priyadharshini M, Murugesh V, Rybin O.
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ABSTRACT Paracamallanus cyathopharynx (Baylis, 1923) specimens were collected from the rectum of the African sharptooth catfish, Clarias gariepinus in Lake Heritage, Crocodile River in the Limpopo River system and in the Vaal River below the Vaal Dam. Attached and unattached parasites were studied with light and scanning electron microscopy along with ...
Thabo Kenneth Matea +1 more
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Response to "Critical appraisal of a machine learning model for predicting internal mammary lymph node metastasis in breast cancer". [PDF]
Xiang Y, Tie J, Wang W.
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Cas9 preferentially generates small indels. By tethering an exonuclease and a DNA‐binding domain (DBD) to Cas9, the Exo‐DBD‐Cas9 system efficiently promotes multiple nucleotide deletions. These expanded deletions enable effective disruption of miRNA‐mediated regulation and relieve translational repression through targeted editing of 3′ untranslated ...
Rui Zhang +6 more
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Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability. [PDF]
Sheoran SK, Yadav V, Sheoran RK.
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Divergent roles of ent‐kaurene oxidase paralogs in rice momilactone biosynthesis
Rice contains a five‐gene tandem array of genes encoding members of the ent‐kaurene oxidase (KO) family, with OsKOL4 and OsKOL5 playing divergent roles in momilactone metabolism, but both acting in the production of antifungal and antibacterial phytoalexins, which are important for disease resistance.
Zhibiao Wang +8 more
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MedFusion-gP-AKI: development and multicenter validation of a machine learning fusion model for early prediction of KDIGO stage 3 acute kidney injury in critically ill traumatic cervicothoracic spinal cord injury patients. [PDF]
Wang Y +6 more
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3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf +4 more
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Cardiovascular risk prediction via ensemble machine learning and oversampling methods. [PDF]
Reátegui R +3 more
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Abstract Most individuals with fragile X syndrome (FXS) exhibit symptoms of autism spectrum disorder (ASD), suggesting a substantial overlap in social cognitive profiles. This cross‐sectional study aimed to explore social cognitive abilities in children and adolescents with FXS in comparison with an age‐matched heterogeneous ASD group and typically ...
Kamil R. Hiralal +8 more
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