Lectures related to Breast cancer screening

Causal Reasoning in Healthcare: ML Guidelines & Dataset Shifts

Explores causal reasoning in healthcare AI, ML guidelines, dataset shifts, bias impact, and multimodal learning.

Cancer Detection: Probe Array Technology

Covers rapid cancer sensing using cantilever arrays, clinical value of diagnostics, physical properties in cancer development, and HER2 levels importance.

Fragment-Based Drug Discovery: Concepts & Technologies

Covers the concepts and technologies of fragment-based drug discovery, exploring hit identification, lead optimization, and screening methods.

Evaluation Protocols

Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.

Densities and Bayesian Inference: Decision Rules and Bayes Law

Covers classification concepts, medical screening tests, and decision rules.

Chemical Biology: High-Throughput and High-Content Screening

Covers Chemical Biology, high-throughput screening, RNA interference, CRISPR-Cas9, and organoid differentiation for drug discovery.

Parametric Models: Estimation and Optimization

Explores parametric models, estimation techniques, regression models, and score-based classifiers in data analysis.

Fragment-Based Drug Discovery: Concepts & Technologies

Covers the concepts and technologies of fragment-based drug discovery, hit identification methods, and its application in target-based drug discovery.

Genetic Suppression: Synthetic Lethality

Explores synthetic lethality in genetics, focusing on cancer implications and therapeutic insights through genetic interactions.

Digital Microscope 2.0: Histology and Pathology Insights

Delves into histological and pathological samples using the digital microscope 2.0.

Ewald Summation: Long-Range Interaction and Self-Interaction Correction

Explains Ewald summation, self-interaction correction, and short-range interaction calculations.

Drug Discovery: Computational Approaches

Explores the EXSCALATE4COV project, focusing on computational drug discovery for COVID-19 treatments and the collaboration between academia and industry.

Sensitivity of MRI

Explores the sensitivity of MRI and ways to enhance it through magnetic field adjustments and different field strengths for various imaging applications.

Kidney-on-a-Chip Technologies

Covers the state-of-the-art kidney-on-chip technologies aiming to facilitate pharmaceutical research and eliminate animal testing.

Parametric Models: Mathematics of Data

Explores parametric models in data analysis, covering regression estimators, optimization problems, and statistical models.

Electric Dipole in Fields

Explores electric dipole behavior in fields, alignment, potential energy, dielectric insulators, metallic planes, and field screening.

Sustained Proliferation: RTK/PI3K/mTOR Pathway in Cancer

Explores the RTK/PI3K/mTOR pathway in cancer, inhibitors, completed trials, and effects of Akt/PKB on survival and proliferation.

Performance Criteria: Confusion Matrix, Recall, Precision, Accuracy

Explores performance criteria in supervised learning, emphasizing precision, recall, and specificity in model evaluation.

Plasma Physics: Debye Length

Explores the rigorous definition of plasma, emphasizing the Debye length and its implications.

Electrochemistry: Definitions and Concentration Stack

Explores electrochemical definitions and concentration stack, focusing on reduction, electrodes, and battery equilibrium.