EVIDENCE → INFERENCE → CARE

Building Better Inference for Better Care

We study how evidence becomes knowledge, and how knowledge becomes better care.

Why inference matters

Medicine does not act on evidence alone. It acts on what clinicians, researchers, guideline panels, journals, regulators, and patients infer from evidence.

Those inferences shape decisions: whether to adopt a new therapy, repeat a study, trust a biomarker, intensify treatment, de-escalate care, or change practice. When inference is unclear, biased, or overstated, patients can be harmed. When inference is rigorous, transparent, and appropriately humble, evidence becomes more useful.

Better inference is the bridge between better evidence and better care.

Evidence becomes knowledge through inference

Scientific progress depends on more than new data. It depends on how carefully we ask questions, how rigorously we test ideas, how openly we acknowledge uncertainty, and how thoughtfully we translate evidence into care.

No single study establishes reliable knowledge. Reliable knowledge emerges through an iterative process of experimentation, criticism, replication, synthesis, and continual refinement.

How we study inference

The Miller Lab uses skin cancer as a model system to improve how medicine learns. Our work spans the full pathway from clinical observation to evidence generation, evidence interpretation, and patient-centered decision-making.

Clinical trials

We design and conduct clinical trials that ask practical, patient-centered questions in skin cancer. Our goal is not simply to test new therapies, but to generate evidence that can meaningfully improve clinical decisions.

Evidence synthesis

We examine how findings from individual studies become broader claims about treatment benefit, risk, uncertainty, and standard practice. We are especially interested in how evidence is interpreted when data are incomplete, heterogeneous, or evolving.

Open inference

We develop tools, frameworks, and research practices that make the analytic and interpretive context of evidence more visible. This includes attention to study design, statistical assumptions, reproducibility, bias, uncertainty, and the range of defensible conclusions.

Applications to patient care

Evidence has value only when it improves decisions for patients. Our work emphasizes thoughtful translation of research findings into care, with attention to uncertainty, tradeoffs, clinical context, and patient-centered outcomes.

An Ecology of Knowledge

Scientific progress depends on an ecosystem rather than any individual investigator, study, method, or institution.

Clinical observations generate hypotheses. Clinical trials test them. Statistics quantify uncertainty. Replication challenges conclusions. Evidence synthesis clarifies patterns. Scientific dialogue refines interpretation. Clinical judgment translates knowledge into decisions.

Together, these processes produce knowledge that is stronger than any one component alone.

Our laboratory studies skin cancer, but our broader mission is to improve the scientific processes through which medicine learns. We believe that better questions, better evidence, and better inference ultimately lead to better decisions for patients.