When it comes to complex techniques like media mix modeling, the field is awash with false promises about the benefits that ...

Making causal inferences about illness, compared to making causal inferences about mechanical breakdown and reading causally unconnected sentences, activates a semantic brain network implicated in the ...

Chakrabarty's research papers delve into adversarial attacks on agentic AI systems, causal inference to enhance explainability and decision-making, self-healing architectures for regulatory compliance ...

Edson Mwebesa, Fellow at the Wits-based Sub-Saharan Africa Advanced Consortium for Biostatistics (SSACAB), knows children who ...

Time to Activate Lung Cancer Clinical Trials and Patient Enrollment: A Representative Comparison Study Between Two Academic Centers Across the Atlantic Advancement of treatment for cancer patients ...

The whitepaper identifies three major pitfalls in modern bioinformatics: the compositional data trap, the mirage of feature importance, and the overreach of generative AI. Each contributes to the high ...

“Identifying the causes and risk factors of MS and substantiating the effectiveness of certain interventions are both crucial ...