Канал: The Foundations of Biomedical Data Science

BDSIL 2024 Slideshow

BDSIL 2024 Slideshow

AI for Personalized Cancer Care

AI for Personalized Cancer Care

Responsible AI Governance: Ethical Considerations, Bias Mitigation, and Explainability in AI Systems

Responsible AI Governance: Ethical Considerations, Bias Mitigation, and Explainability in AI Systems

Using Explainable AI to Enhance Biomedical Data Analysis

Using Explainable AI to Enhance Biomedical Data Analysis

Generative AI for Healthcare

Generative AI for Healthcare

BDSIL: The Participant Experience - A Panel Discussion

BDSIL: The Participant Experience - A Panel Discussion

Large Language Models and Psychometrics: A New Road for a New Future.

Large Language Models and Psychometrics: A New Road for a New Future.

Interoperability at All Scales: from Data Bits and Bytes to National Public Health Surveillance

Interoperability at All Scales: from Data Bits and Bytes to National Public Health Surveillance

Psychometrics and Large Language Models: What Can Be Learned and What Can Go Wrong?

Psychometrics and Large Language Models: What Can Be Learned and What Can Go Wrong?

Towards Sustainable Research Software

Towards Sustainable Research Software

Clearing the Air for a Breathable Future: Unraveling the Biomedical Implications of Data Pollution

Clearing the Air for a Breathable Future: Unraveling the Biomedical Implications of Data Pollution

Biomedicine in the Age of Generative AI

Biomedicine in the Age of Generative AI

Acceding to the Use of AI Tools in Education

Acceding to the Use of AI Tools in Education

Large Language Models for Healthcare: Where Are We Now, and Where Are We Headed?

Large Language Models for Healthcare: Where Are We Now, and Where Are We Headed?

Language, Knowledge, and LLMs in the Context of Biomedical Data Science Education

Language, Knowledge, and LLMs in the Context of Biomedical Data Science Education

BDSIL 2024 Video

BDSIL 2024 Video

Label-Efficient Learning for Biomedical and Educational Applications

Label-Efficient Learning for Biomedical and Educational Applications

Innovations and Challenges in AI and its Application to Health

Innovations and Challenges in AI and its Application to Health

Identifying Genetics Signals Adaptively and Reproducibly

Identifying Genetics Signals Adaptively and Reproducibly

Personalized Machine Learning for Clinical Natural Language Processing

Personalized Machine Learning for Clinical Natural Language Processing

Can AI Uncover the Laws of Physics by Observing Apples Falling from Trees?

Can AI Uncover the Laws of Physics by Observing Apples Falling from Trees?

Generative AI in Context

Generative AI in Context

Toward a Data Commons for Biomedicine

Toward a Data Commons for Biomedicine

Impact of COVID-19 Pandemic on Influenza

Impact of COVID-19 Pandemic on Influenza

Likelihood-Based Methods for Fitting Stochastic Epidemic Models to Noisy Data

Likelihood-Based Methods for Fitting Stochastic Epidemic Models to Noisy Data

How Well Did the World do Modeling Covid?

How Well Did the World do Modeling Covid?

Infectious Disease Surveillance and Modeling through Spatial Big Data

Infectious Disease Surveillance and Modeling through Spatial Big Data

Choices Give Meaning to Uncertainty: Pandemic Emergence, Policy Advising and Personalized Medicine

Choices Give Meaning to Uncertainty: Pandemic Emergence, Policy Advising and Personalized Medicine

Digital Health Equity

Digital Health Equity

Understanding the Impact of COVID-19 Pandemic on Mental Health Using Network Analysis

Understanding the Impact of COVID-19 Pandemic on Mental Health Using Network Analysis

Advancing the Practice of Transdisciplinary Team Science Research: Responding to COVID-19

Advancing the Practice of Transdisciplinary Team Science Research: Responding to COVID-19

Early-Pandemic Telehealth Implementation and Mid-Pandemic Post-COVID Neurobehavioral Symptoms

Early-Pandemic Telehealth Implementation and Mid-Pandemic Post-COVID Neurobehavioral Symptoms

What can Data Science do in the Fight Against Infectious and Immune-mediated Diseases?

What can Data Science do in the Fight Against Infectious and Immune-mediated Diseases?

After the Research: Using Policy, Advocacy, + Philanthropy to Address the Consequences of COVID-19

After the Research: Using Policy, Advocacy, + Philanthropy to Address the Consequences of COVID-19

So You Want to Market Your Regulated Digital Health Device in the US?

So You Want to Market Your Regulated Digital Health Device in the US?

Leveraging Big Health Data to Answer Questions about Program and Policy Effects

Leveraging Big Health Data to Answer Questions about Program and Policy Effects

Enhancing Long-Term Forecasting: Learning from COVID-19 Models

Enhancing Long-Term Forecasting: Learning from COVID-19 Models

Publishing Reproducible and Credible Models

Publishing Reproducible and Credible Models

Neurocognitive Decline in Young Adults with Mild COVID-19: Grounding Assessment in Pre-pandemic Data

Neurocognitive Decline in Young Adults with Mild COVID-19: Grounding Assessment in Pre-pandemic Data

Data Enhancement and Portability for Healthcare

Data Enhancement and Portability for Healthcare

Keeping Campus Open: Designing Mitigation Strategies with Biased Data

Keeping Campus Open: Designing Mitigation Strategies with Biased Data

The Costs and Benefits of Different Covid-19 Interventions

The Costs and Benefits of Different Covid-19 Interventions

NHLBI Data Science Panel

NHLBI Data Science Panel

Challenges in Estimating Vaccine Effectiveness Using Big Data

Challenges in Estimating Vaccine Effectiveness Using Big Data

Radical Approaches to COVID-19 Testing and Predicting Susceptibility to Developing Long Covid/PASC

Radical Approaches to COVID-19 Testing and Predicting Susceptibility to Developing Long Covid/PASC

https://youtu.be/C76ZKRIrhSM

https://youtu.be/C76ZKRIrhSM

Interdisciplinarity in the Health Sciences and the Pursuit of Health Equity

Interdisciplinarity in the Health Sciences and the Pursuit of Health Equity

Ethical Interactions in Scientific Teams as a Foundation for Ethical AI

Ethical Interactions in Scientific Teams as a Foundation for Ethical AI

Data Acumen in Action

Data Acumen in Action

Challenges for Research Ethics Governance in the Era of AI and Data Science Research

Challenges for Research Ethics Governance in the Era of AI and Data Science Research

Team Science in Data Science: Bridging the Divide

Team Science in Data Science: Bridging the Divide

A Beginner's Mind

A Beginner's Mind

On Collective Wisdom When AI is Involved

On Collective Wisdom When AI is Involved

Addressing Key Challenges in Genomic and Health Data Sharing

Addressing Key Challenges in Genomic and Health Data Sharing

Promise or Peril?: Algorithmic Intelligence and Racial Discrimination in Health Care

Promise or Peril?: Algorithmic Intelligence and Racial Discrimination in Health Care

Biomedical Data Science Seminar Series

Biomedical Data Science Seminar Series

Ethical AI Requires Ethical Collaboration

Ethical AI Requires Ethical Collaboration

Current Practice, Challenges and Perspectives on Single Cell Data Science

Current Practice, Challenges and Perspectives on Single Cell Data Science

On the Necessity of Relational Ethics and Empathic Attunement for Data-Centric Technologies

On the Necessity of Relational Ethics and Empathic Attunement for Data-Centric Technologies

The Secret Lives of Predictive Models

The Secret Lives of Predictive Models

Utilizing Deep Learning to Create Tailored Summary Outcome Metrics for Clinical Populations

Utilizing Deep Learning to Create Tailored Summary Outcome Metrics for Clinical Populations

Practical Tools for Developing Ethical AI (and why principles are not enough)

Practical Tools for Developing Ethical AI (and why principles are not enough)

Ethics, Equity and Transparency in Biomedical Research and the Role of the Good Pharma Scorecard

Ethics, Equity and Transparency in Biomedical Research and the Role of the Good Pharma Scorecard

Introduction to use of Structured Medical Record Data

Introduction to use of Structured Medical Record Data

Meta-Learning for Biological Knowledge Transfer

Meta-Learning for Biological Knowledge Transfer

Predictive Analytics Monitoring at the Bedside

Predictive Analytics Monitoring at the Bedside

Data Activism and the Imagination of Biomedical Data Science

Data Activism and the Imagination of Biomedical Data Science

Neuron Morphology, Connectivity, and Classification

Neuron Morphology, Connectivity, and Classification

Advancing Neuroimaging Genomics with Continuous Team Science

Advancing Neuroimaging Genomics with Continuous Team Science

Progress Towards Large-Scale, Consensus-Based Models of Human Brain Function: Contributions from fMR

Progress Towards Large-Scale, Consensus-Based Models of Human Brain Function: Contributions from fMR

The Shifting Dunes of Data and Computation

The Shifting Dunes of Data and Computation

Integrative Data Science Approaches for Studying Transcriptional Regulation in the Genome

Integrative Data Science Approaches for Studying Transcriptional Regulation in the Genome

Brain-Based Biomarkers - A Focus on the Heterogeneous

Brain-Based Biomarkers - A Focus on the Heterogeneous

Big Neuroscience, Data Sharing & Predictive Health Analytics

Big Neuroscience, Data Sharing & Predictive Health Analytics

Functional Imaging - Individual Differences Social Cognition

Functional Imaging - Individual Differences Social Cognition

ReproNim: Towards Reproducible Neuroimaging Neuroscience

ReproNim: Towards Reproducible Neuroimaging Neuroscience

Investigating Mechanisms of Exercise-Induced Neuroplasticity in Cog-Motor Systems in Parkinson's

Investigating Mechanisms of Exercise-Induced Neuroplasticity in Cog-Motor Systems in Parkinson's

The Use of Ontologies for FAIR Neuroscience

The Use of Ontologies for FAIR Neuroscience

Clinical Imaging Informatics in Action: Extracting valuable knowledge from archival pediatric brain

Clinical Imaging Informatics in Action: Extracting valuable knowledge from archival pediatric brain

Do Biological Neural Networks Perform Identifiable and Verifiable Canonical Computations?

Do Biological Neural Networks Perform Identifiable and Verifiable Canonical Computations?

Clinical Trial Readiness for Neurodevelopmental Disorders: On the Road to Precision Health

Clinical Trial Readiness for Neurodevelopmental Disorders: On the Road to Precision Health

Building Precision Medicine for Autism(s)

Building Precision Medicine for Autism(s)

Assembling Global Neural Networks of the Mouse Brain

Assembling Global Neural Networks of the Mouse Brain

Toward a Culture of Computational Reproducibility

Toward a Culture of Computational Reproducibility

Data Structure, Disease Risk, GXE, and Causal Modeling

Data Structure, Disease Risk, GXE, and Causal Modeling

ENIGMA and COINSTAC: Turning small datasets into big ones

ENIGMA and COINSTAC: Turning small datasets into big ones

Neuroimaging of Pain and Affect: Generalizable models for prediction and explanation

Neuroimaging of Pain and Affect: Generalizable models for prediction and explanation

Brain Aging, Inflammation and Cardiovascular Health: Insights from a society in South America

Brain Aging, Inflammation and Cardiovascular Health: Insights from a society in South America

Mapping Structure, Function and Connectivity in Humans and NonHuman Primate Cerebral Cortex

Mapping Structure, Function and Connectivity in Humans and NonHuman Primate Cerebral Cortex

Neuroinformatics and Cognitive Ontologies

Neuroinformatics and Cognitive Ontologies

How to do Data Science

How to do Data Science

Biomedicine & the Foundations of Data?

Biomedicine & the Foundations of Data?

Computationally & Statistically Efficient Distributed Inference with Theoretical Guarantees

Computationally & Statistically Efficient Distributed Inference with Theoretical Guarantees

Genomic Fingerprinting & Representation

Genomic Fingerprinting & Representation

Imaging Informatics

Imaging Informatics

Theoretical Foundations & Software Infrastructure for Biological Network Databases

Theoretical Foundations & Software Infrastructure for Biological Network Databases

Molecular Data & the Microbiome

Molecular Data & the Microbiome

"Why the Cloud Matters for Data Science"

"Why the Cloud Matters for Data Science"

Big Brain Data Science & Predictive Health Analytics

Big Brain Data Science & Predictive Health Analytics

Leveling the Playing Field Applying FAIR Principles to Your Daily Data Tasks

Leveling the Playing Field Applying FAIR Principles to Your Daily Data Tasks

Principles of Scientific Knowledge Engineering

Principles of Scientific Knowledge Engineering

Big Data Technologies for Biomedical Knowledge Discovery

Big Data Technologies for Biomedical Knowledge Discovery

Avoiding the Tower of Babel: the Role of Data Description Standards in Biomedical Imaging

Avoiding the Tower of Babel: the Role of Data Description Standards in Biomedical Imaging

Collaborative & Scalable Open Source Data Science: Deep Learning, Optimization & Education

Collaborative & Scalable Open Source Data Science: Deep Learning, Optimization & Education

DataScience@NIH: Current State, Future Directions

DataScience@NIH: Current State, Future Directions

Considerations & Limitations for Clinical Data

Considerations & Limitations for Clinical Data

Reproducibility

Reproducibility

Ethical Issues in Data Science

Ethical Issues in Data Science

Why Data Sharing & Reuse Are Hard To Do?

Why Data Sharing & Reuse Are Hard To Do?

Open Science

Open Science

Data Visualization Tools & Communication

Data Visualization Tools & Communication

Causal Inference

Causal Inference

Data Issues: Multiple Testing, Bias, Confounding, Missing...

Data Issues: Multiple Testing, Bias, Confounding, Missing...

Bayesian Inference

Bayesian Inference

Algorithms & Optimization

Algorithms & Optimization

Unsupervised Machine Learning

Unsupervised Machine Learning

Supervised Machine Learning

Supervised Machine Learning

Data Modeling and Inference Overview

Data Modeling and Inference Overview

Commons: Lessons Learned, Current State

Commons: Lessons Learned, Current State

Modern Computing: Cloud, Distributed, & High Performance

Modern Computing: Cloud, Distributed, & High Performance

Running a Data Science Laboratory: Adventures of a Network Biologist

Running a Data Science Laboratory: Adventures of a Network Biologist

Data Workflows & Pipelines

Data Workflows & Pipelines

NLP: Natural Language Processing

NLP: Natural Language Processing

Computing Overview

Computing Overview

Exploratory Data Analysis

Exploratory Data Analysis

Data Wrangling Normalization & Preprocessing: Part II Text

Data Wrangling Normalization & Preprocessing: Part II Text

Data Wrangling, Normalization & Preprocessing: Part I Signals

Data Wrangling, Normalization & Preprocessing: Part I Signals

Databases & Data Warehouses, Data: Structures, Types, Integrations

Databases & Data Warehouses, Data: Structures, Types, Integrations

Data Representation Overview

Data Representation Overview

Metadata Standards

Metadata Standards

Provenance

Provenance

Ontologies

Ontologies

Data Curation and Version Control

Data Curation and Version Control

Finding & Accessing Datasets, Indexing & Identifiers

Finding & Accessing Datasets, Indexing & Identifiers

Data Indexing and Retrieval

Data Indexing and Retrieval

Introduction to Big Data and the Data Lifecycle

Introduction to Big Data and the Data Lifecycle