Rates of disease progression by baseline CD4 cell count and viral load after initiating triple-drug therapy
ContextCurrent recommendations for initiation of antiretroviral therapy in patients infected
with human immunodeficiency virus type 1 (HIV) are based on CD4 T-lymphocyte cell counts …
with human immunodeficiency virus type 1 (HIV) are based on CD4 T-lymphocyte cell counts …
[HTML][HTML] A consensus molecular classification of muscle-invasive bladder cancer
Background Muscle-invasive bladder cancer (MIBC) is a molecularly diverse disease with
heterogeneous clinical outcomes. Several molecular classifications have been proposed, but …
heterogeneous clinical outcomes. Several molecular classifications have been proposed, but …
Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model
S Sano, KS Chan, S Carbajal, J Clifford, M Peavey… - Nature medicine, 2005 - nature.com
Here we report that epidermal keratinocytes in psoriatic lesions are characterized by
activated Stat3. Transgenic mice with keratinocytes expressing a constitutively active Stat3 (K5.…
activated Stat3. Transgenic mice with keratinocytes expressing a constitutively active Stat3 (K5.…
Identification, molecular characterization, clinical prognosis, and therapeutic targeting of human bladder tumor-initiating cells
KS Chan, I Espinosa, M Chao… - Proceedings of the …, 2009 - National Acad Sciences
Major clinical issues in bladder cancer include the identification of prediction markers and
novel therapeutic targets for invasive bladder cancer. In the current study, we describe the …
novel therapeutic targets for invasive bladder cancer. In the current study, we describe the …
Blocking PGE2-induced tumour repopulation abrogates bladder cancer chemoresistance
Cytotoxic chemotherapy is effective in debulking tumour masses initially; however, in some
patients tumours become progressively unresponsive after multiple treatment cycles. …
patients tumours become progressively unresponsive after multiple treatment cycles. …
A novel evolutionary data mining algorithm with applications to churn prediction
WH Au, KCC Chan, X Yao - IEEE transactions on evolutionary …, 2003 - ieeexplore.ieee.org
Classification is an important topic in data mining research. Given a set of data records, each
of which belongs to one of a number of predefined classes, the classification problem is …
of which belongs to one of a number of predefined classes, the classification problem is …
Life expectancy of persons receiving combination antiretroviral therapy in low-income countries: a cohort analysis from Uganda
Background: Little is known about the effect of combination antiretroviral therapy (cART) on
life expectancy in sub-Saharan Africa. Objective: To estimate life expectancy of patients once …
life expectancy in sub-Saharan Africa. Objective: To estimate life expectancy of patients once …
[HTML][HTML] Disruption of Stat3 reveals a critical role in both the initiation and the promotion stages of epithelial carcinogenesis
KS Chan, S Sano, K Kiguchi, J Anders… - The Journal of …, 2004 - Am Soc Clin Investig
Constitutive activation of signal transducer and activator of transcription 3 (Stat3) has been
found in a wide spectrum of human malignancies. Here, we have assessed the effect of Stat3 …
found in a wide spectrum of human malignancies. Here, we have assessed the effect of Stat3 …
Three differentiation states risk-stratify bladder cancer into distinct subtypes
…, LD Shortliffe, IL Weissman, KS Chan - Proceedings of the …, 2012 - National Acad Sciences
Current clinical judgment in bladder cancer (BC) relies primarily on pathological stage and
grade. We investigated whether a molecular classification of tumor cell differentiation, based …
grade. We investigated whether a molecular classification of tumor cell differentiation, based …
Class-dependent discretization for inductive learning from continuous and mixed-mode data
JY Ching, AKC Wong, KCC Chan - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
Inductive learning systems can be effectively used to acquire classification knowledge from
examples. Many existing symbolic learning algorithms can be applied in domains with …
examples. Many existing symbolic learning algorithms can be applied in domains with …