PharmExec

The Next Generation of Trial Designs: Supplementing Trials with Real-World Data

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
PsyPost on MSN

Evolutionary psychology’s “macho” face ratio theory has a major flaw

For years, evolutionary psychologists and biologists have investigated the idea that the shape of a man’s face can predict his behavior. A specific measurement known as the facial width-to-height ...
EuropaWire

University of Liverpool Partners with BPGbio to Accelerate AI-Driven Drug Discovery Through Civic HealthTech Innovation Zone

The University of Liverpool has partnered with Boston-based BPGbio, Inc. to use artificial intelligence to accelerate the discovery of new medicines through its Civic HealthTech Innovation Zone, ...

OpenAI says new coding model helped build itself

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...

Grey Owl Capital Management Q4 2025 Client Letter

Grey Owl's All-Season Strategy returned 11.4% in 2025, outperforming during risk-on rallies. Read the full report to explore ...
The BMJ

FDA is now “open to bayesian statistics”: transformational change or new Pandora’s box?

The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...
Frontiers

Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases

Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
IEEE

Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...
Scientific Research Publishing

Fithian, W., Sun, D. and Taylor, J. (2014) Optimal Inference after Model Selection. arXiv:1410.2597.

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
eLife

Hierarchical Bayesian modeling of multiregion brain cell count data

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...