Artificial Intelligence-Driven Morphology-Based Enrichment of Malignant Cells from Body Fluid.

Cell morphology is a fundamental feature used to evaluate patient specimens in pathologic analysis. However, traditional cytopathology analysis of patient effusion samples is limited by low tumor cell abundance coupled with the high background of nonmalignant cells, restricting the ability of downstream molecular and functional analyses to identify actionable therapeutic targets. We applied the Deepcell platform that combines microfluidic sorting, brightfield imaging, and real-time deep learning interpretations based on multidimensional morphology to enrich carcinoma cells from malignant effusions without cell staining or labels.

Assessing DNA sequence variations in human ESTs in a phylogenetic context using high-density oligonucleotide arrays.

We have analyzed human genomic diversity in 32 individuals representing four continental populations of Homo sapiens in the context of four ape species. We used DNA resequencing chips covering 898 expressed sequence tags (ESTs), corresponding to 109 kb of sequence. Based on the intra-species data, the neutral hypothesis could not be rejected.

Paternal origins of complete hydatidiform moles proven by whole genome single-nucleotide polymorphism haplotyping.

Complete hydatidiform moles (CHMs) are diploid tumors that result from fertilization of an empty ovum by a haploid 23,X sperm. In most cases, the resulting duplication of the genome gives rise to a 46,XX genotype and is thought to be androgenetic in origin. If this hypothesis is correct, then the genotypes of all polymorphic markers in CHMs should be homozygous.