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To explore the impact of pharmacologic therapies on cognitive changes of Alzheimer's disease (AD) patients, we develop an artificial intelligence (AI) based personalized relevance parameterization method, called PReP-AD-PH. Expressions of genes, which are effective in AD related protein biomarkers, and mini mental state examination (MMSE) scores of AD patients in mild cognitive impairment (MCI) stage...
In this paper, we quantify spatial heterogeneity in the positions of live cells as potential biomarkers for cell viability in 3d in-vitro microenvironment under the impact of anti-cancer agents. We present three case studies using human colorectal cancer cell lines of HCT-116, SW-620 and SW-480 in 48-hour experiments. With our data acquisition system guiding an inverted microscope and a digital camera,...
Spatial properties of cell assays obtained by monitoring morphological characteristics of incubated cancer cells are studied as cell apoptosis indicators. Human colon carcinoma cells were cultured in 3d in-vitro microenvironment with FOLFOX treatment to experimentally evaluate cell viability for multiple days. With a 3D cell tracking algorithm guiding an inverted microscope in combination with a digital...
In evaluation of cell viability and apoptosis, spatial heterogeneity is quantified for cancerous cells cultured in 3-D in vitro cell-based assays under the impact of anti-cancer agents. In 48-h experiments using human colorectal cancer cell lines of HCT-116, SW-620, and SW-480, incubated cells are divided into control and drug administered groups, to be grown in matrigel and FOLFOX solution, respectively...
The impact of patient-specific spatial distribution features of cell nuclei on tumor growth characteristics was analyzed. Tumor tissues from kidney cancer patients were allowed to grow in mice to apply H&E staining and to measure tumor volume during preclinical phase of our study. Imaging the H&E stained slides under a digital light microscope, the morphological characteristics of nuclei positions...
Personalized approach to anti-cancer therapy necessitates the adaptation of standardized guidelines for chemotherapy schedules to individual cancer patients. We introduce a methodology, namely Personalized Relevance Parameterization (PReP-G), based on the genomic data of breast cancer patients to compute time course of drug efficacy on tumor progression. The pharmacodynamic (PD) parameters of transit...
In this paper, we introduce a personalized parameterization approach, namely prep-g, to explore impact of gene expression values from breast cancer patients on tumor growth and shrinkage characteristics using xenograft models. In construction of prep-g parameterization, in addition to individual effects of the breast cancer-related gene expressions, the impact of the correlation among them and the...
Our Genomic Relevance Parameterization (GReP) model aims to explore a possible relationship between gene expression values from breast cancer patients and mathematical tumor growth modeling parameters calculated using data from clinical and preclinical measurements. We introduce two methods to relate genomic information and the tumor growth measurements. One method explores the impact of exponentiation...
An interoperability test automation system has been implemented at the Wireless Communication Technologies Research Laboratory (KİTAL) at TÜBİTAK BİLGEM for secure IP communication terminals. Designed and manufactured at BİLGEM, MİLSEC-4 terminals provide VoIP signalling using SIP and end-to-end secure communication using SCIP protocols. This test system, called Shadow Coordinator, aims to verify...
We present an interoperability test automation system developed by TUBITAK BILGEM for Wireless Telecommunication Technologies Research Lab (KITAL) project under the sponsorship of Ministry of Development. This test system, called Shadow Coordinator, aims to verify the behavior of various wired and wireless terminals developed either at BILGEM or by industrial vendors as defined by SIP, SCIP and other...
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