S. Tavakoli

Reducing work-load of pathotype and gene detection in Klebsiella pneumoniae by leveraging machine learning

This paper uses machine learning to identify crucial antibiotics for detecting pathotypes and genes in Klebsiella pneumoniae, reducing the need for extensive experiments.

Transplantation-based screen uncovers inducers of muscle progenitor cell engraftment across vertebrate species

The paper identifies two lipids that enhance muscle progenitor cell engraftment across zebrafish and mice by activating intracellular calcium flux.

Synthesis of Long RNA with a Site-Specific Modification by Enzymatic Splint Ligation

This paper improves the synthesis of long RNA with site-specific modifications using enzymatic splint ligation by addressing structural and sequence heterogeneity.

Generalizability in White Blood Cells' Classification Problem

The paper introduces a method to improve WBC classification generalization by using a novel image representation and CNN training, achieving 93.97% accuracy on Raabin-WBC and 51.57% on LISC.

New Segmentation and Feature Extraction Algorithm for Classification of White Blood Cells in Peripheral Smear Images

The paper introduces a new image processing and machine learning method for classifying white blood cells with high accuracy using three datasets.

Structural and Biochemical Studies of Dihydrofolate Reductase from Streptococcus pyogenes as a Target for Antifolate Antibiotics

This study identifies potent DHFR inhibitors against S. pyogenes and determines its crystal structure to guide antifolate antibiotic development.

Strain maps characterize the symmetry of convergence and extension patterns during Zebrafish gastrulation

The paper maps strain patterns during zebrafish gastrulation to understand convergence and extension movements, identifying symmetric and rotational strain features.