|Deep Phenotyping - Harnessing Data Richness for Unsupervised High-Content Analysis|
Huang Dong, Wang Yi, Maciej Hermanowicz, Ke Yiping, Maja Choma, Lee Kee Khoon, Frederic Bard
Recognising the key challenges, we develop an end-to-end computational framework for HCA dubbed “Deep Phenotyping” that perform unsupervised analysis to leverage on the data richness for the discovery of unknown sub-phenotypes with minimal labeling cost.
|Clinical Applications of “Liquid biopsy” in the Colorectal Cancer Treatmen|
Koichi Suzuki, Yuji Takayama, Kosuke Ichida, Taro Fukui, Nao Kakizawa, Fumiaki Watanabe, Fumi Hasegawa, Rina Kikugawa, Shingo Tsujinaka, Yasuyuki Miyakura, Toshiki Rikiyama
Liquid biopsy provides a circulating biomarker not only for treatment response but decision making of a sequential strategy.
|Finite element modelling for the optimization of temperature control in Lab-on-a-Chip devices|
T. Pardy(a,b); T. Rang(a); I. Tulp(b)
The presented finite element model aims to help in the development of Lab-on-a-Chip devices which require temperature control. The model simulates the thermal system in such devices to enable in silico validation of designs and geometry optimization, and aims to be a versatile tool supporting multiple temperature control methods.
|Development of an Integrated Paper-based Molecular Diagnostic Platform|
Manoharanehru Branavan, Wamadeva Balachandran
The poster describes a modular development of a paper-based molecular diagnostic device and the latest results obtained from a proof-of-concept device.
|Differences in the Neurophysiology of Infants with Down Syndrome May Predict Protective/Risk Markers for Subsequent Alzheimer’s Disease|
Esha Massand1,2, Hana D’Souza1,2, George Ball1,2, Maria Eriksson1, Charlotte Dennison1, Joanna Ball1 & Annette Karmiloff-Smith1,2
Our work set out to understand early individual differences in memory abilities of infants with DS that may be predictive of subsequent cognitive phenotypes of AD.
|The Challenges of Genetic Testing in Patients Diagnosed with Breast Cancer; The Kent Oncology Centre Experience|
Christos Mikropoulos1,2, Aaron Davies 1, Charlotte Abson1, Gill Sadler1, Gemma McCormick1, Questa Karlsson2, Julia Hall2
In this study we explore retrospective data to determine strategies for optimizing the genetic referral pathways for breast cancer.
|Translational Research of oral Neural Crest-Derived Stem Cells (oNCSCs) in Regenerative Dentistry|
Grimm W.-D1,2,4, S. N. Alekseenko9, D. V. Bobryshev1, W. Duncan11, B. Giesenhagen3, E. Gubareva9, Sema S. Hakki6, O.V. Pershina7, I. Schau4, S. V. Sirak1, E.G. Skurikhin7, A. A. Sletov1, F. Witte10, G. Varga8, O. V. Vladimirova1, M.A. Vukovic2, D. Widera5
In this review poster, we summarize current knowledge on the oral neural crest-derived stem cell populations (oNCSCs) and discuss their potential in regenerative periodontology as a part of regenerative dentistry.
|Development of a nucleic acid-based amplification test as point-of-care rapid test detecting sexually-transmitted diseases for home-care|
Vicky Tröger, Anja Scherber, Dirk Kuhlmeier, Indrek Tulp, Marko Lehes, Steffen Howitz, Toni Bohatzsch, Tamas Pardy
The main problem of early diagnosis of STI is the lack of suitable systems. Therefore a quick home test is needed. In this poster, a microfluidic cartridge combining an isothermal amplification with detection on a lateral flow strip is presented.
|A Microwave/Microfluidics Integrated Label-Free Detection and Content Sensing System for Point-of-Care Applications|
Gurkan Yesiloz, Muhammed S. Boybay, Carolyn L. Ren
This poster presents a droplet-based microfluidic device integrated with a microwave wave sensor, which is also a heater, for simultaneous sensing and heating of individual nanoliter-sized droplets.
|LOHA Comprehensive Assay for Single Nucleotide Polymorphism, Copy Number Variants and Loss of Heterozygosity Using SureSelect Target Enrichment|
Kyeong Soo Jeong, Arjun Vadapalli, Ashutosh Ashutosh, Paula Costa, Brian Peter, Stephanie Fulmer-Smentek, Magnus Isaksson, Jayati Ghosh, Douglas Roberts, Holly Hogrefe
Here we describe a comprehensive assay that enables researchers to identify SNP, INDEL, CNV, and LOH using SureSelect target enrichment. This design can be employed as a standalone entity or in concert with other bait designs for SNP and INDEL detection. We also describe methods for data analysis and visualization.
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