Improving the Care of Terminally Ill Cancer Patients and Their Families In this issue, Brown et al 8 report QoL outcomes from a non–small-cell lung cancer trial comparing supportive care regimens with ...

Targeting the Hepatocyte Growth Factor–cMET Axis in Cancer Therapy In most analyses appearing in the medical literature, the most common way of dealing with missing (covariate or response) data is to ...

Artificial intelligence (AI) tools used in medicine, like AI used in other fields, work by detecting patterns in large volumes of data. AI tools are able to detect these patterns because they can ...

There are data about practically everything these days, and they can be used to try to answer any number of questions. Do clinical trials really show a drug works? Can surveys really signal who’s ...

The analysis of longitudinal dyadic data is challenging due to the complicated correlations within and between dyads, as well as possibly non-ignorable dropouts. Based on a mixed-effects hybrid model, ...

One of the most widely adopted of the seven patterns of AI is the Patterns and Anomalies pattern. Machine learning is particularly good at digesting large amounts of data very quickly and identifying ...

Why does the supply chain that served you so well yesterday seem designed to end your company today? Don’t be surprised; that’s how nature works. Yesterday’s design is optimized for yesterday.

HT analysis of CPCB data finds gaps, shifting pollutants, and anomalies may make Delhi’s AQI appear cleaner than real conditions during its most toxic week. Delhi’s official air quality index dropped ...