Cellular Image Informatics Division
Harnessing artificial intelligence in radiology to augment population health
This review article serves to highlight radiological services as a major cost driver for the healthcare sector, and the potential improvements in productivity and cost savings that can be generated by incorporating artificial intelligence (AI) into the radiology workflow, referencing Singapore healthcare as an example.
Read222-D Automated hyperplex staining and imaging system on various cancer tissues using off the shelf antibodies
Interactions between tumor and neighboring immune cells are dynamic and complex within the tumor microenvironment (TME), requiring the use of spatial biology techniques to characterize them, and thereby identify potential targets for immunotherapy.
ReadSubcellular Force Imbalance in Actin Bundles Induces Nuclear Repositioning and Durotaxis
KEYWORDS: durotaxis, traction force, nano/micropillars LINC complex, nuclear positioning
ReadPredicting recurrence in osteosarcoma via a quantitative histological image classifier derived from tumour nuclear morphological features
Recurrence is the key factor affecting the prognosis of osteosarcoma. Currently, there is a lack of clinically useful tools to predict osteosarcoma recurrence. The application of pathological images for artificial intelligence-assisted accurate prediction of tumour outcomes is increasing.
ReadContrastivePose: A contrastive learning approach for self-supervised feature engineering for pose estimation and behavorial classification of interacting animals
- Study of interaction behaviors in animals is a useful tool in neuroscience research. - Automated behavior analysis is enabled by machine learning using pose estimation. - Training supervised classification models faces bottleneck of manual labeling. - Contrastive learning improves model performance with unlabeled pose data.
ReadFungus-derived protein particles as cell-adhesive matrices for cell-cultivated food
Cell-adhesive factors mediate adhesion of cells to substrates via peptide motifs such as the Arg–Gly–Asp (RGD) sequence. With the onset of sustainability issues, there is a pressing need to find alternatives to animal-derived cell-adhesive factors, especially for cell-cultivated food applications.
ReadZyxin regulates embryonic stem cell fate by modulating mechanical and biochemical signaling interface
Biochemical signaling and mechano-transduction are both critical in regulating stem cell fate. How crosstalk between mechanical and biochemical cues influences embryonic development, however, is not extensively investigated.
ReadA review of algorithmic approaches for cell culture media optimization
Cell culture is widely used in biotechnology to manufacture various useful products for applications such as pharmaceuticals, food, biofuel, and industrial products. Cell culture production systems in industry and research span different kingdoms of life from free living microbes such as bacteria, archaea, and fungi, to cell lines derived from multicellular organisms including insect and mammalian species. Products include pharmaceuticals such as antibiotics and monoclonal antibodies; food products such as rennet, single-cell protein, and cultivated meat; biofuel from lipid-producing algae; industrial products such as cleaning enzymes and organic acids.
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