Publications by authors named "L N M van Dijk"
Motivation: Partial order alignment is a widely used method for computing multiple sequence alignments, with applications in genome assembly and pangenomics, among many others. Current algorithms to compute the optimal, gap-affine partial order alignment do not scale well to larger graphs and sequences. While heuristic approaches exist, they do not guarantee optimal alignment and sacrifice alignment accuracy.
View Article and Find Full Text PDFBackground: Pharmacist prescribing legislation aims to enhance healthcare quality and accessibility. However, in many countries, like the Netherlands, it has not yet been legally established.
Aim: To investigate pharmacists' perspectives on potential pharmacist prescribing in the Netherlands.
Article Synopsis
- Scientists established a direct-contact transmission model for the SARS-CoV-2 Omicron BA.5 variant using Syrian hamsters, which are highly susceptible to the virus.
- The research involved testing different inoculation doses and co-housing durations to ensure reliable transmission and comparing viral loads and tissue damage between infected donor and naïve recipient hamsters.
- Results indicated that while both male and female hamsters could be infected similarly, males shed significantly more infectious virus; overall, the Omicron BA.5 variant resulted in lower viral loads and less severe symptoms compared to prior strains, highlighting the model's potential for studying new treatment strategies.
Low-abundance members of microbial communities are difficult to study in their native habitats, including Escherichia coli, a minor but common inhabitant of the gastrointestinal tract, and key opportunistic pathogen of the urinary tract. While multi-omic analyses have detailed interactions between uropathogenic Escherichia coli (UPEC) and the bladder mediating urinary tract infection (UTI), little is known about UPEC in its pre-infection reservoir, the gastrointestinal tract, partly due to its low relative abundance (<1%). To sensitively explore the genomes and transcriptomes of diverse gut E.
View Article and Find Full Text PDFBackground And Purpose: Prior work on adaptive organ-at-risk (OAR)-sparing radiation therapy has typically reported outcomes based on fixed-number or fixed-interval re-planning, which represent one-size-fits-all approaches and do not account for the variable progression of individual patients' toxicities. The purpose of this study was to determine the personalized optimal timing for re-planning in adaptive OAR-sparing radiation therapy, considering limited re-planning resources, for patients with head and neck cancer (HNC).
Materials And Methods: A novel Markov decision process (MDP) model was developed to determine optimal timing of re-planning based on the patient's expected toxicity, characterized by normal tissue complication probability (NTCP), for four toxicities.