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PubMed2026

The future of precision oncology and artificial intelligence in Belgium: scenarios and policy responses.

PURPOSE: Precision medicine, also known as personalized medicine, enables the provision of tailored health services to patients. In the prevention, early detection, and treatment of cancers, precision medicine is highly promising, given the increasing use of genomic profiling for diagnosis and adapting therapies in several tumor types. Artificial Intelligence (AI) can support this process by analyzing vast amounts of relevant data. However, high-quality data and financial investments in the health system are essential for the implementation of precision medicine and AI solutions in routine cancer care. DESIGN/METHODOLOGY/APPROACH: Building on the quantitative outcomes of a foresight exercise published in another study, this article collects qualitative data to gain more detailed insights into the future of precision oncology in Belgium and discusses the role of AI in this field. It reports the results of a series of expert workshops, focusing on four hypothetical future scenarios that are centered around technological and economic issues that must be overcome for the widespread use of precision oncology in Belgium. FINDINGS: The study concludes that all four scenarios discussed in the workshops would require supportive policy measures in Belgium, which should go beyond mere technological and economic considerations, such as involving patient associations and the public in policy design or creating multi-disciplinary expert groups for precision medicine. ORIGINALITY/VALUE: To the best of our knowledge, this is the first study to employ foresight methodology to illustrate possible future scenarios, scrutinize feasible approaches for implementing precision oncology in Belgium, and discuss the use of AI in this context.

Belgium↗
PubMed2026

Safety, tolerability, and efficacy of RIPK1 inhibitor, SAR443820, in amyotrophic lateral sclerosis (HIMALAYA): a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial.

BACKGROUND: RIPK1, a protein regulating inflammatory signalling and cell death, is implicated in amyotrophic lateral sclerosis (ALS) pathophysiology. SAR443820 is a selective, oral, CNS-penetrant, reversible RIPK1 inhibitor. We aimed to evaluate the safety, tolerability, and efficacy of SAR443820 in participants with ALS. METHODS: This multicentre, randomised, double-blind, placebo-controlled, phase 2 trial was conducted at 63 clinical sites in 13 countries (Belgium, Canada, China, France, Germany, Italy, Japan, the Netherlands, Poland, Spain, Sweden, the UK, and the USA). Adults (aged 18-80 years) with a diagnosis of possible ALS, clinically probable ALS, clinically probable laboratory-supported ALS, or clinically definite ALS, in accordance with the revised El Escorial World Federation of Neurology criteria, were randomly assigned (2:1) by use of a stratified block design (blocks of three) to receive either 20 mg SAR443820 orally twice per day or matching placebo in the 24-week double-blind period. Randomisation was done centrally using interactive response technology and stratified by geographical region of trial site, region of ALS onset, use of riluzole, use of edaravone, and use of the combination of sodium phenylbutyrate and taurursodiol. Participants, care providers, investigators, and outcomes assessors were masked to trial intervention. The primary outcome was a change in ALS Functional Rating Scale Revised (ALSFRS-R) total score from baseline to week 24 and was calculated for all participants who had an ALSFRS-R total score available at baseline and at week 24. Safety analyses included all randomly assigned participants receiving one dose or more of trial intervention. This trial is registered with ClinicalTrials.gov (NCT05237284) and was terminated early. FINDINGS: Between April 13, 2022, and July 17, 2023, 397 participants were screened and 305 randomly assigned to SAR443820 (n=203) or placebo (n=102); six were excluded from the primary analysis due to missing baseline ALSFRS-R values. Mean age was 56·9 years (SD 11·5); 183 (60%) participants were male and 122 (40%) were female. Least squares mean change in ALSFRS-R from baseline to week 24 was -6·73 (95% CI -7·48 to -5·98) for SAR443820 group (n=169) and -6·32 (-7·36 to -5·27) for placebo group (n=87). There was no statistically significant difference between the study groups (least squares mean difference -0·41 [95% CI -1·71 to 0·88]). Participants in the SAR443820 group had higher incidence of adverse events (171 [85%] of 202 vs placebo 80 [78%] of 102) and treatment discontinuations (28 [14%] of 202 vs placebo five [5%] of 102), with elevated hepatic enzymes being the most common cause. Nine deaths occurred in the double-blind period (seven [3%] of 202 in the SAR443820 group and two [2%] of 102 in the placebo group); none was attributed to SAR443820. INTERPRETATION: SAR443820 did not show clinical benefit and was associated with higher hepatic enzyme increase, indicating that further clinical development of SAR443820 in ALS is not warranted. FUNDING: Sanofi.

Humans↗
PubMed2026

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer screening. Meanwhile, evidence in Lynch syndrome surveillance is sparse and inconsistent. We assessed the effect of CADe on adenoma detection during Lynch syndrome surveillance. Computer-aided optical diagnosis (CADx) performance for optical differentiation of colorectal lesions was evaluated as a secondary aim. METHODS: CADLY2 was an international, multicentre, open-label, randomised controlled superiority trial at nine specialised hereditary cancer surveillance centres in Belgium, Germany, the Netherlands, and Spain. Adults aged 18 years or older with genetically confirmed Lynch syndrome scheduled for surveillance colonoscopy were randomly assigned (1:1) to high-definition white-light (HD-WL) colonoscopy alone or to HD-WL colonoscopy with computer-aided assistance from CAD EYE (Fujifilm, Tokyo, Japan). CAD EYE was used for CADe during withdrawal and for CADx after lesion detection. Randomisation was done centrally through a secure web-based system using Pocock's minimisation algorithm with a stochastic component and was stratified by centre, sex, previous colorectal cancer, underlying pathogenic variant, and interval since previous colonoscopy. Allocation concealment was ensured through the centralised web-based system. Patients were masked to group allocation until the start of withdrawal in procedures with mild sedation, or until completion of the procedure in procedures with propofol-based sedation. Endoscopists were not masked. The primary outcome was adenoma detection rate, defined as the proportion of patients with at least one histopathologically confirmed adenoma, analysed in the full analysis set (defined as all randomly allocated patients with available data for the primary outcome). The diagnostic performance of the CADx system was evaluated as a secondary outcome. The safety analysis set comprised all randomly allocated patients who underwent a study colonoscopy. This study is registered with the German Clinical Trials Register, DRKS00030695, and is completed. FINDINGS: Between May 9, 2023, and Oct 30, 2025, 757 patients were randomly allocated to HD-WL colonoscopy (377 patients) or to AI-assisted colonoscopy (380 patients); 733 patients were included in the full analysis set (369 HD-WL and 364 AI-assisted). The median age was 49 years (IQR 38-59) in the HD-WL group and 50 years (38-59) in the AI-assisted group; 213 (58%) were female and 156 (42%) male in the HD-WL group, and 207 (57%) were female and 157 (43%) male in the AI-assisted group. The adenoma detection rate was 30·9% (114 of 369 patients) with HD-WL versus 33·8% (123 of 364 patients) with CADe assistance (odds ratio 1·14 [95% CI 0·83-1·57], p=0·41). For CADx differentiation of neoplastic versus non-neoplastic lesions in the paired lesion-level analysis, with histopathology as the reference standard and sessile serrated lesions and traditional serrated adenomas classified as non-neoplastic, CADx sensitivity was 85·9% (95% CI 82·0-89·1) and specificity was 91·4% (89·4-93·0). Three adverse events occurred in the AI-assisted group: two mild post-polypectomy bleedings and one serious pulmonary embolism or deep venous thrombosis unrelated to the procedure. No adverse events occurred in the HD-WL group. INTERPRETATION: CADe-assisted colonoscopy did not show the absolute improvement in adenoma detection rate that was assumed in the prespecified sample-size calculation. CADx did not clearly improve lesion differentiation beyond expert optical diagnosis in expert Lynch syndrome surveillance settings. FUNDING: Third-party research funding of the National Center for Hereditary Tumor Syndromes, University Hospital Bonn.

Humans↗