Diagnostics

A highly sensitive diagnostic tool for Lactate at physiological range of sweat was achieved using engineered lactate dehydrogenase (LDH).

Define structure and presence of Zn element in microscopic calcifications taken during routine FNAC can be used for diagnosis of TN malignancy

Novel biomarker patterns in chronic lymphocytic leukemia (CLL) patients assessing in diagnosis of CLL, assessing CLL severity and being a target for anticancer therapy.

G2P2S is a genotype-to-phenotype-to-service that can be implanted in the clinic laboratories. This is a data science driven solution that combines clinical microbiology, bioinformatics and machine learning to improve the detection and management of AMR infections.

Method to uncover functional hallmarks from label-free cell images using interpretable deep learning. They used the autoencoder to generate “in-silico” cell images that amplified the cellular features driving the classifier.

Point-of-care devices for determination and quantification of biomarkers for thyroid cancer metastasis. Lateral flow assay (LFA) to detect the presence of metastasis thyroid cancer and capture flow immune-assay (CFA), a novel method to detect and quantify the biomarkers, including thyroglobulin.

Easy to use, point-of-care device based on novel technology named Capture Flow Assay to detect and quantify the Anti-drug Antibodies (ADAs) using internal calibration technique. Most importantly, the device differentiates between neutralizing and non-neutralizing ADAs.

Improved glucose sensing enzyme wired to an electrode allowing more accurate and sensitive glucose measurements. The enzyme is suitable for both invasive and non-invasive biosensors that can measure glucose from bodily fluids such as sweat, tears and urine.