Plant phenotyping is important for genetic enhancements and plant biology research. There is a lot of work done to improve yield of crop plants, by selecting good genotypes to cross-breed in an effort to curb diseases or genetic deficiencies in these crops. In order to select these genotypes, one would have to perform phenotyping. Currently, plant phenotyping is based on visual assessment, wher...

Objective: We investigate whether deep learning techniques for natural language processing (NLP) can be used efficiently for patient phenotyping. Patient phenotyping is a classification task for determining whether a patient has a medical condition, and is a crucial part of secondary analysis of healthcare data. We assess the performance of deep learning algorithms and compare them with classic...

Identifying genes that are important for embryo development is a crucial first step towards understanding their many functions in driving the ordered growth, differentiation and organogenesis of embryos. It can also shed light on the origins of developmental disease and congenital abnormalities. Current international efforts to examine gene function in the mouse provide a unique opportunity to ...

Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic stress iron deficiency chlorosis (IDC) of soybean is reported. IDC classification and severity for an association panel of 461 dive...

Phenotyping heart failure represents a major challenge for both research studies and clinical practice. Large-scale clinical trials have failed to achieve meaningful improvement in clinical outcomes with different pharmacological agents in patients with heart failure and preserved left ventricular ejection fraction. Therefore, an alternative scheme for phenotyping heart failure is needed, which...

ASCO phenotyping (A: atherosclerosis; S: small-vessel disease; C: cardiac pathology; O: other causes) assigns a degree of likelihood of causal relationship to every potential disease (1 for potentially causal, 2 for causality is uncertain, 3 for unlikely causal but the disease is present, 0 for absence of disease, and 9 for insufficient workup to rule out the disease) commonly encountered in is...

Cassava is an important crop in Africa, Asia, Latin America, and the Caribbean. Cassava can be produced adequately in drought conditions making it the ideal food security crop in marginal environments. Although cassava can tolerate drought stress, it can be genetically improved to enhance productivity in such environments. Drought adaptation studies in over three decades in cassava have identif...

Phenotyping heart failure represents a major challenge for both research studies and clinical practice. Large-scale clinical trials have failed to achieve meaningful improvement in clinical outcomes with different pharmacological agents in patients with heart failure and preserved left ventricular ejection fraction. Therefore, an alternative scheme for phenotyping heart failure is needed, which...