Siew-Chin Neoh

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Methods to detect and quantify minimal residual disease (MRD) after chemotherapy for acute lymphoblastic leukaemia (ALL) could improve treatment by identifying patients who need more or less intensive therapy. We have used a clone-specific polymerase chain reaction to detect rearranged immunoglobulin heavy-chain gene from the leukaemic clone, and quantified(More)
Many patients with acute lymphoblastic leukemia (ALL) are not cured by current therapy because of the development of drug resistance. It is not clear when resistance develops during the growth of the leukemic clone and whether resistant cells are already present at diagnosis or develop later during treatment. Twenty-two uniformly treated children with ALL(More)
A novel clinical decision support system is proposed in this paper for evaluating the fetal well-being from the cardiotocogram (CTG) dataset through an Improved Adaptive Genetic Algorithm (IAGA) and Extreme Learning Machine (ELM). IAGA employs a new scaling technique (called sigma scaling) to avoid premature convergence and applies adaptive crossover and(More)
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