Imaging: the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues (physiology). Medical imaging seeks to reveal internal structures hidden by the skin and bones, as well as to diagnose and treat disease. Medical imaging also establishes a database of normal anatomy and physiology to make it possible to identify abnormalities. Although imaging of removed organs and tissues can be performed for medical reasons, such procedures are usually considered part of pathology instead of medical imaging.
Date: March 23, 2023 Time: 8:00am (PDT), 11:00am (EDT), 8:00pm (CEST) Across clinical oncology applications, from molecular testing to cancer research the ability to identify potentially act...
We have developed 3D-shaped hydrogel microparticle platforms to capture cells, as well as isolate and label their secretions. These “lab on a particle” systems enable sorting cel...
Date: March 16, 2023 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CET) On Thursday March 16, COPAN Diagnostics is pleased to release presentations given at an event held during ASM Microbe 202...
Date: March 16, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) Problem Screening greater than 10 pathogens or SNPs in a sample is challenging due to limitations in fluorescence colo...
Date: March 15, 2023 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CET) Presentation - Prof. Andrea Mosca: “Monitoring glycemic control in diabetic pat...
Spatial mapping of pain-associated G-Protein coupled receptors and bio-marker localization in mouse brain using RNAscope HiPlex v2 and RNA-Protein Co-Detection Assays....
Deep–Brain Stimulation (DBS) has become an effective means of treating a variety of neurological conditions. Most DBS systems work are "open-loop," and apply constant stimula...
Date: March 08, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) An unbiased characterization of the human microbiome is crucial to a more complete understanding of microbial effect on h...
Artificial neural networks can be useful for studying brain functions. In cognitive neuroscience, recurrent neural networks are often used to model cognitive functions. I will first offer my...
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
Date: March 08, 2023 Time: 8:00am (PST), 11:00am (EST), 5:00pm (CET) Engineered nucleases like the CRISPR-Cas9 system provide researchers with powerful tools for the manipulation of the geno...
Animal models present a unique opportunity to understand molecular mechanisms of pathological changes involved in cognitive dysfunction in neurological disorders. However, most of the work f...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural...
Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building...
Selective vulnerability of brain regions and specific neural populations in neurodegeneration remains little understood. We hypothesize that pre-existing physiological differences in neurons...
Alzheimer’s and Parkinson’s diseases (AD, PD) are the two most common neurodegenerative disorders. Both diseases are characterized by abnormal aggregates in the brain, which incl...
Black Americans have an increased risk for age-related cognitive decline and Alzheimer's disease (AD) compared to other ethnic and racialized groups. However, risk factors for age-relate...
Some of the earliest symptoms of Alzheimer’s disease (AD) are loss of orientation, wandering and misplacing items. One of the first regions vulnerable to AD pathology is the entorhinal...
Explainable AI (XAI) aims at helping you understand and interpret predictions made by AI techniques and tools. Recently, there has been a growing interest in XAI as many users want explanati...
In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement require...
Mild traumatic brain injuries (mTBIs) are a prevalent health issue in North America. There is increasing pressure to utilize ecologically valid models of closed-head mTBI in the preclinical...
Natural Language Processing is experiencing a phenomenal capabilities acceleration since the introduction of Large Language Models (LLMs). This success stems in part from the ability to inge...
Date: March 07, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) The ability to synthesize and sequence vast numbers of DNA constructs is a cornerstone of modern high-throughput biologic...
Date: March 23, 2023 Time: 8:00am (PDT), 11:00am (EDT), 8:00pm (CEST) Across clinical oncology applications, from molecular testing to cancer research the ability to identify potentially act...
We have developed 3D-shaped hydrogel microparticle platforms to capture cells, as well as isolate and label their secretions. These “lab on a particle” systems enable sorting cel...
Date: March 16, 2023 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CET) On Thursday March 16, COPAN Diagnostics is pleased to release presentations given at an event held during ASM Microbe 202...
Date: March 16, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) Problem Screening greater than 10 pathogens or SNPs in a sample is challenging due to limitations in fluorescence colo...
Date: March 15, 2023 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CET) Presentation - Prof. Andrea Mosca: “Monitoring glycemic control in diabetic pat...
Spatial mapping of pain-associated G-Protein coupled receptors and bio-marker localization in mouse brain using RNAscope HiPlex v2 and RNA-Protein Co-Detection Assays....
Deep–Brain Stimulation (DBS) has become an effective means of treating a variety of neurological conditions. Most DBS systems work are "open-loop," and apply constant stimula...
Date: March 08, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) An unbiased characterization of the human microbiome is crucial to a more complete understanding of microbial effect on h...
Artificial neural networks can be useful for studying brain functions. In cognitive neuroscience, recurrent neural networks are often used to model cognitive functions. I will first offer my...
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
Date: March 08, 2023 Time: 8:00am (PST), 11:00am (EST), 5:00pm (CET) Engineered nucleases like the CRISPR-Cas9 system provide researchers with powerful tools for the manipulation of the geno...
Animal models present a unique opportunity to understand molecular mechanisms of pathological changes involved in cognitive dysfunction in neurological disorders. However, most of the work f...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural...
Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building...
Selective vulnerability of brain regions and specific neural populations in neurodegeneration remains little understood. We hypothesize that pre-existing physiological differences in neurons...
Alzheimer’s and Parkinson’s diseases (AD, PD) are the two most common neurodegenerative disorders. Both diseases are characterized by abnormal aggregates in the brain, which incl...
Black Americans have an increased risk for age-related cognitive decline and Alzheimer's disease (AD) compared to other ethnic and racialized groups. However, risk factors for age-relate...
Some of the earliest symptoms of Alzheimer’s disease (AD) are loss of orientation, wandering and misplacing items. One of the first regions vulnerable to AD pathology is the entorhinal...
Explainable AI (XAI) aims at helping you understand and interpret predictions made by AI techniques and tools. Recently, there has been a growing interest in XAI as many users want explanati...
In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement require...
Mild traumatic brain injuries (mTBIs) are a prevalent health issue in North America. There is increasing pressure to utilize ecologically valid models of closed-head mTBI in the preclinical...
Natural Language Processing is experiencing a phenomenal capabilities acceleration since the introduction of Large Language Models (LLMs). This success stems in part from the ability to inge...
Date: March 07, 2023 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) The ability to synthesize and sequence vast numbers of DNA constructs is a cornerstone of modern high-throughput biologic...