Temasek Life Sciences Laboratory Limited

Pathnova Laboratories Pte Ltd

Temasek Life Sicences Laboratory Limited

Shen-Yi Ian Cheong

Muthukaruppan Swaminathan

Sudipta Samanta

Chan Soh Ha

Chang Zhi Adrian Ng

Jianing Hu

The present invention relates to the provision of an automated system and a computer-implemented method for detecting a disease such as nasopharyngeal cancer (NPC) based upon the use of either a Fuzzy Inference (FI) system or a deep learning-fuzzy inference (DeLFI) hybrid model to analyse immunofluorescence assay (IFA) images. For NPC detection, the system and method of the invention would distinguish between Epstein Barr Virus (EBV) Early Antigen (EA) positive and negative cells, and identify cellular patterns which are indicative of NPC. The DeLFI hybrid model requires less human evaluation and thereby has the potential to improve the scalability and accuracy of NPC detection.

Automated disease detection system

Hyperstable liposome comprising an anti-mitotic agent, one or more anions and one or more cations entrapped in the inner milieu, wherein the entrapped anti-mitotic drug is released at a slow rate that is less than 0.6% in 12 hours or less than 5% in 8 hours when the liposomes are suspended in 600 mM sucrose. These liposomes are useful in the treatment of cancer. In particular, HEPC:Chol:DSPE-PEG2000 (50:45:5) liposomes comprising BI 2536 and citrate:phosphate in a ratio of 1:3.

Hyperstabilized liposomes increase targeting of mitotic cells

Growing community of inventors

Singapore, Singapore

Shen-Yi Ian Cheong