Clear guides to the numbers, study designs and unanswered questions behind medical research.
Start the reading path
Record the question, sample, results and limits for up to three studies. Start with a real reporting case study or bring your own paper.
Open your study notebookTry four invented examples or change the counts. Compare people per 1,000, percentage points and relative change in one view.
Absolute risk, relative change and the missing time frame.
02 / THE BIGGER PICTURECompare the question, the people and the way evidence was collected.
03 / THE OUTCOMEFollow the distance between a test result and an outcome that matters.
Find 24 research terms, from absolute risk to systematic review. Each comes with an invented example, a common pitfall and a source you can follow.
Downstream RNA can be a target for antisense oligonucleotides. Our guide examines a potential source of unintended effects and the evidence needed to explain a fall in gene output.
Simulations, NMR and biochemical experiments probe a transient regulatory pocket. Our guide keeps a predicted movement, an observed structural response and a cleavage measurement separate.
CROSS replaces the mouse X chromosome with a rat counterpart. The useful lesson is the difference between keeping DNA intact, regulating it correctly and supporting development.
A new single-cell method connects a genetic change with the RNA response around it. Our reading guide examines coverage, comparison labels and the gap between a functional score and a diagnosis.
A genetic label follows an activated oocyte cohort through time. We unpack persistence, developmental competence and the denominator behind a striking ovarian finding.
A time-course study links PLPP2 with experimental liver repair. We connect animal perturbations with human biopsy observations while keeping their causal roles distinct.
An ecological approach estimates whether sequencing will reveal more cellular clusters. Our guide separates a useful stopping rule from a claim that a tissue is fully understood.
A new laboratory study connects viral proteins with IAPP aggregation and insulin-cell readouts. We separate binding, cell metabolism, secretion and human-risk questions.
New structures and functional experiments illuminate LPS transport. We explain what makes a mechanism persuasive and what an antibiotic-development claim would still need.
Today’s microbiome study connects shared species with genetic separation. Our guide shows why people, samples, species and inferred history must stay distinct.
A liver-guideline proof of concept reports concordance across clinical scenarios. Our methods guide separates benchmark agreement, agent consensus and evidence of real-world benefit.
A new study reveals stages of spliceosome termination. Our explainer connects structural snapshots, RNA evidence and the question of how cellular machinery becomes ready for reuse.
A mouse study changes one immune signal and gets different answers from different endpoints. The important question is what “stronger immunity” would have to mean.
A new study connects DUSP4 with thermogenic gene activity. We follow the logic from removing a gene to restoring a local response, and ask what each experiment can establish.
New reference curves bring pain reports into a common framework. We explain how to read the population patterns without turning them into a forecast for one person.
A new medical AI paper makes the case for specialized, adaptable models. Our reading guide follows one error measure and asks what a useful deployment test would add.
Genome-based prediction offers a way to shortlist bacteriophages for laboratory testing. The crucial distinction is between a useful match and a proven treatment.
A cross-species analysis offers a common description of changing brain dynamics. It also shows why a shared pattern is only one part of a mechanism.
Connect molecular neighborhoods, bacterial imaging, tissue atlases and cell dynamics with a practical method for turning a map into a testable explanation.
A feedback loop links membrane organization to cell polarity. Reading the mechanism means following the perturbations as well as the images.
Microscopy and chemical tracking connect a lipid with stages of bacterial development. Seeing it there is the beginning of an explanation, not the end.
A new intestinal atlas connects genetic signals to candidate regulatory regions. It helps refine biological questions about Crohn’s disease without turning an association into a treatment promise.
DNA-built compartments reveal how environment reshapes protein condensation. The lesson is to test what a simplified experiment leaves out.
A dual neural organoid brings peripheral and central development into the same experimental setting. Its usefulness depends on the question it can faithfully represent.
A spatial cell atlas links epithelial states with their microbial and cellular neighbors. The most useful reading follows the map and then tests the proposed connections.
A new human brain atlas offers a closer view of ageing. Its real value lies in the questions it makes possible, rather than a personal biological-age score.
New recordings explore silent speech rehearsal. The useful question is how a controlled syllable task might become a reliable communication tool.
Connect organoids, synthetic compartments and neural experiments with a practical guide to what a model preserves, leaves out and can predict.
A fruit-fly experiment raises a precise question about ageing: which part of a nutrient response matters? The answer needs to be separated from the much broader promise of living longer.
A molecular map asks what familiar anatomical boundaries leave out. Here is how to read its colourful regions without mistaking a new classification for a clinical breakthrough.
A new laboratory study examines how a modified RNA base can affect protein translation—and how sequence design can reduce a particular reading error.
An engineered sugar-bearing gel inhibits bacterial growth and biofilms in laboratory tests. Its promise depends on more than looking or behaving like natural mucus.
PRADA tags nearby molecules and adds a way to explore RNA structure. Its value depends on separating proximity, molecular identity and biological function.
A September review asks who produces the evidence behind digital health tools. For readers, the practical task is to inspect both the result and the route that produced it.
A new study follows research published after the original trial report. It raises a useful distinction: more papers, new investigators and new participants are three different things.
A new imaging method follows activity across transparent fish. The promise is a richer view of physiology; the challenge is proving which connections cause what.
An experiment with medical students separates a convincing explanation from evidence that the answer is right.
A randomized study tested the missing link between an AI answer and a person’s decision. Strong model scores did not translate into better choices.
A benchmark experiment shows why a picture-plus-text score needs a closer look at the words beside the image.
Learn to separate adverse events from adverse reactions, count people rather than episodes and interpret zero events without claiming zero risk.
The COMPare project followed trial publications back to their plans. Use its findings to inspect an outcome change without jumping to accusations.
A combined outcome can tell a useful story while leaving its most important chapter unresolved. Work through a first-event example and learn what to look for in the component results.
A worked guide to precision, clinical importance and the difference between an uncertain result and evidence of little effect.
Use two fictional populations to see how sensitivity, specificity and the frequency of a condition shape what a positive result means.
Follow a simple time-to-event model to see why hazard ratios, risks at a fixed time and survival duration answer different questions.
A pooled estimate is the end of a chain of decisions. Trace the question, search, independent studies, bias and uncertainty before deciding what the headline deserves.
A practical guide to intention-to-treat analysis, per-protocol comparisons and the research question hidden behind an estimand.
Work through absolute risk, relative change, time frames and treatment burden using clearly labelled examples you can check yourself.
Work through a study where the apparent advantage changes under different assumptions about participants whose outcomes were not observed.
“Not unacceptably worse” is a specific statistical question. Four invented confidence intervals show why it is different from equal, better, or simply not statistically different.
See how multiple testing changes a headline, what a p-value does not measure and how a planned analysis differs from an exploratory finding.
Understand questionnaire scores, meaningful change and why a group average can hide very different experiences among participants.
Follow an invented trial from enrolment to outcome assessment, and learn why a random sequence, concealed allocation and blinding solve different problems.
Understand lead-time bias, length bias and overdiagnosis before interpreting a screening headline—and see which outcomes can answer a different question.
Learn to separate a real difference in effects from two different significance labels—and to check the scale on which a difference is claimed.
Build a simple document trail from registration to publication, and learn how to investigate changed outcomes without assuming every amendment is misconduct.
A real research case study on press releases, news coverage and the words that turn an association into a promise.
A historical audit of large trials shows why a literature search needs a results registry—and why an absent paper is not the same as an absent result.
A practical method for connecting studies without counting every paper as a separate vote or mistaking a new result for the final answer.
A simple way to read absolute and relative risk together — and see what a headline leaves out.
A worked example shows how different group mixes can create a striking association. Learn what randomization, adjustment and better study design can establish.
A laboratory result can change before anyone knows whether patients benefit. Learn how to read surrogate endpoints, validation claims and the outcomes still missing.