Computational Pathology is the process of extraction of information from digitized pathology images in combination with their associated metadata, typically using artificial methods. It will help pathologists to become more efficient and give us the tools to make us faster.
The prevailing philosophy in biological testing has been to focus on simple tests with easy to interpret information such as ELISA or lateral flow assays. At the same time, there has been a d...
Rapid, inexpensive, and sensitive nucleic acid detection may aid point-of-care pathogen detection, genotyping, and disease monitoring. We combine the RNA- targeting CRISPR effector Cas13 with...
Neurological disorders present a worldwide multi-factorial burden. They affect as many as one billion people globally - and that number is predicted to increase in the next decades. The wide-...
NIH representatives from the BRAIN Initiative will be presenting an overview of the NIH BRAIN Initiative and describing funding opportunity announcements (FOAs) supporting impacts in human ne...
Clinical testing with next generation sequencing requires a complex bioinformatics pipeline to process raw DNA sequence into interpretable variants for medical reporting. With sequencin...
As the compendium of putatively disease causing variants expands, gathering the most current and accurate information is critical to computing variant classifications. The QIAGEN knowledgebas...
In the postgenomic era, one expects the suite of chemical players in a brain region to be known and their functions uncovered. Perhaps surprisingly, many neurochemicals remain poorly characte...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
Decoding human genetic disease allows us to develop models of the pathology that can be directly tested with gene correction or targeted drug therapy. Dominant negative mutations are pa...
DATE: September 19,2018TIME: 06:00am PDT, 09:00am EDT Statistical Quality Control is well established as a key assurance technique for medical laboratories. In chemistry and...
Next-generation DNA sequencing has opened new possibilities for microbial water quality monitoring, particularly for addressing emerging concerns like antibiotic resistance and opportunistic...
The prevailing philosophy in biological testing has been to focus on simple tests with easy to interpret information such as ELISA or lateral flow assays. At the same time, there has been a d...
Rapid, inexpensive, and sensitive nucleic acid detection may aid point-of-care pathogen detection, genotyping, and disease monitoring. We combine the RNA- targeting CRISPR effector Cas13 with...
Neurological disorders present a worldwide multi-factorial burden. They affect as many as one billion people globally - and that number is predicted to increase in the next decades. The wide-...
NIH representatives from the BRAIN Initiative will be presenting an overview of the NIH BRAIN Initiative and describing funding opportunity announcements (FOAs) supporting impacts in human ne...
Clinical testing with next generation sequencing requires a complex bioinformatics pipeline to process raw DNA sequence into interpretable variants for medical reporting. With sequencin...
As the compendium of putatively disease causing variants expands, gathering the most current and accurate information is critical to computing variant classifications. The QIAGEN knowledgebas...
In the postgenomic era, one expects the suite of chemical players in a brain region to be known and their functions uncovered. Perhaps surprisingly, many neurochemicals remain poorly characte...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
Decoding human genetic disease allows us to develop models of the pathology that can be directly tested with gene correction or targeted drug therapy. Dominant negative mutations are pa...
DATE: September 19,2018TIME: 06:00am PDT, 09:00am EDT Statistical Quality Control is well established as a key assurance technique for medical laboratories. In chemistry and...
Next-generation DNA sequencing has opened new possibilities for microbial water quality monitoring, particularly for addressing emerging concerns like antibiotic resistance and opportunistic...
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