Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
Deep Learning and Computer Vision Strategies for Automated Gene Editing with a Single-Cell Electroporation Platform.
In SLAS technology
Patino Cesar A, Mukherjee Prithvijit, Lemaitre Vincent, Pathak Nibir, Espinosa Horacio D
CRISPR-Cas9, computer vision, deep learning, electroporation, single-cell
In Life (Basel, Switzerland)
Riekeles Max, Schirmack Janosch, Schulze-Makuch Dirk
automation, biosignature, life detection, machine learning, motility, species identification
Machine Learning-Based Amino Acid Substitution of Short Peptides: Acquisition of Peptides with Enhanced Inhibitory Activities against α-Amylase and α-Glucosidase.
In ACS biomaterials science & engineering ; h5-index 39.0
Yamashita Haruki, Fujitani Masaya, Shimizu Kazunori, Kanie Kei, Kato Ryuji, Honda Hiroyuki
amino acid index, data mining, peptide array, physicochemical property, screening system
Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction.
In Japanese journal of radiology
Ichikawa Yasutaka, Kanii Yoshinori, Yamazaki Akio, Nagasawa Naoki, Nagata Motonori, Ishida Masaki, Kitagawa Kakuya, Sakuma Hajime
Abdomen, Computed tomography, Deep learning image reconstruction, Image noise, Image quality
In Current hematologic malignancy reports
PURPOSE OF REVIEW :
RECENT FINDINGS :
Sharma Sujata, Quinn David, Melenhorst J Joseph, Pruteanu-Malinici Iulian
Annotation, Clustering, K-means, PCA, UMAP, tSNE
In Herzschrittmachertherapie & Elektrophysiologie
Zippel-Schultz Bettina, Schultz Carsten, Müller-Wieland Dirk, Remppis Andrew B, Stockburger Martin, Perings Christian, Helms Thomas M
Acceptance, Big data, Decision-making support, Risk assessment, Self-management