Experimentation & Causal Inference

A/B tests, randomized trials and the methods that separate cause from correlation.

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Latest in Experimentation & Causal Inference


ataraxis.ai > causal-ai-chemotherapy-benefit

Causal multi-modal AI predicts who benefits from chemotherapy — and who will not

5+ day, 21+ hour ago   (510+ words) Authors: Dhruva Biswas and Krzysztof J. Geras AI-enabled perception of how treatment choice shapes patient trajectories. Causal multi-modal AI turns routine pathology and clinical data into personalized estimates of chemosensitivity, separating risk of recurrence from treatment benefit to help direct chemotherapy…...


usatoday.com > story > money > money-management > healthcare > 09/14/2026 > ai-medical-innovation-healthcare > 91713919007

AI innovation is reshaping healthcare from diagnosis to drug discovery

6+ day, 1+ hour ago   (486+ words) In science fiction, futuristic medical technology often appears in a doctor’s hand. Think of Dr. McCoy scanning a patient using a tricorder wand in Star Trek. These innovations are making diagnosis faster. But can they make it better? Early evidence…...


bioengineer.org > ai-learns-to-predict-patient-outcomes-even-when-key-omics-data-are-missing

AI Learns to Predict Patient Outcomes Even When Key Omics Data Are Missing

1+ week, 1+ day ago   (754+ words) Precision medicine has long promised a future in which a patient’s treatment is tailored to the molecular signatures written into their genome, transcriptome, epigenome, proteome and metabolome....


news.cancerresearchuk.org > 09/09/2026 > from-ai-to-the-death-of-the-default-what-cancer-science-will-look-like-in-2036

From AI to the death of the default: what cancer science will look like in 2036 - Cancer Research UK - Cancer News

1+ week, 4+ day ago   (490+ words) From the increasing role of tech to better representing the population, what will research look like in 2036? We asked two researchers to do a spot of future gazing and give us their predictions for the next decade… Ed Roberts runs…...


therundown.ai > news > insilico-rentosertib-aging-clocks-ai-drug

Insilico’s AI-designed drug shows an early aging signal in lung disease patients

1+ week, 4+ day ago   (574+ words) Insilico’s rentosertib shifted aging clock estimates in a small study, offering an early glimpse of AI’s medical promise while leaving major questions. Insilico Medicine has published an exploratory analysis showing that rentosertib, a drug candidate designed with AI, shifted blood…...


techspot.com > news > 113767-ai-developed-drug-appeared-make-patients-biologically-younger.html

An AI-developed drug appeared to make patients biologically younger in a clinical trial

1+ week, 5+ day ago   (44+ words) The experimental drug, rentosertib, comes from Insilico Medicine and was developed to treat idiopathic pulmonary fibrosis, a disease that progressively scars the lungs....


pharmaphorum.com > digital > ai-clinical-trials-building-better-trials-they-start

AI in clinical trials: Building better trials before they start

1+ week, 5+ day ago   (809+ words) Drug development is an inherently risky endeavour, with the average probability of approval for a drug entering Phase I studies now sitting at just 6.7%. While much of this can be attributed to lack of efficacy, factors such as poor clinical…...


how2shout.com > ai > insilico-rentosertib-aging-clocks-study.html

AI-Designed Drug Cuts Biological Age in a 42-Patient Trial

1+ week, 5+ day ago   (797+ words) Insilico Medicine published a study in Nature Biotechnology on Monday reporting that rentosertib, a drug designed by generative AI, reduced predicted biological age in patients who took it. Six independently built aging clocks all pointed the same way. The company’s…...


eurekalert.org > multimedia > 1150076

Illustrated, chemical structure of LSD

1+ week, 5+ day ago   (75+ words) (IMAGE) EurekAlert! In this illustration, the chemical structure of LSD — represented by a rainbow — is being deconstructed into simplified analogues, which are portrayed as individual colors. Illustrated by Andras Domokos and Andrian G. Basargin/UC Davis Credit must be given…...