Despite incredible progress in cancer treatment, therapy resistance remains the leading limiting factor for long-term survival. During drug treatment, several genes are transcriptionally upregulated to mediate drug tolerance. Using highly variable genes and pharmacogenomic data for acute myeloid leukemia (AML), we developed a drug sensitivity prediction model for the receptor tyrosine kinase inhib

Artificial intelligence (AI) has been used to develop drug sensitivity prediction models, raising the opportunity of using it for personalized cancer medicine. This chapter describes recent advancements in drug response prediction methods using machine learning algorithms. Pharmacogenomic datasets come with different types of biological data including genetic mutations, gene expression, copy numbe

OBJECTIVE: Trauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospita

We observe regular patterns emerging across multiple length scales with high-concentration DNA solutions in microfluidic pillar arrays at low Reynolds numbers and high Deborah numbers. Interacting vortices between pillars lead to long-range order in the form of large travelling waves consisting of DNA at high concentration and extension. Waves are formed in quadratic arrays of pillars, while rando

The global discourse on climate change, emphasises the need for a rapid clean energy transition. National net-zero commitments are highly contingent on fossil fuel phaseout. India showed active leadership in the Glasgow Summit, 2021 by setting its Renewable Energy targets to 500 GW by 2030 and net-zero emissions by 2070. However, these entail major energy justice concerns as 80 % of India's electr

BackgroundBloodstream infections (BSI) are a public health concern, and infections caused by resistant bacteria further increase the overall BSI burden on healthcare.AimTo provide a population-based estimate of BSI incidence and relate this to the forthcoming demographic ageing western population change.MethodsWe retrieved positive blood cultures taken from patients in the Skåne region, southern S

Spark ablation is a versatile technique for producing pure size-selected nanoparticles. The carrier gas used in spark ablation affects the nanoparticles’ generation, crystalline structure, and chemical composition. The comprehension of this phenomenon can contribute to the design of nanoparticles with tailored properties. In this paper, we evaluate the effects of reducing (95%N2 + 5%H2), inert (N2

Herein, the surface functionalization of ReSe2 nanostructures by surfactants was investigated. This was done to understand how the use of various surfactants affects the catalytic activity of ReSe2 nanostructures towards the hydrogen evolution reaction (HER), and to determine which surfactant would result in maximal exposure of the active edge sites without impeding the catalytic processes of the

INTRODUCTION: Administration of large volumes of fluids is associated with poor outcome in septic shock. Recent data suggest that non-resuscitation fluids are the major source of fluids in the intensive care unit (ICU) patients suffering from septic shock. The present trial is designed to test the hypothesis that a protocol targeting this source of fluids can reduce fluid administration compared w

BACKGROUND: The use of viscoelastic tests is becoming increasingly popular. There is a paucity of validation of the reproducibility of varying coagulation states. Therefore, we aimed to study the coefficient of variation (CV) for the ROTEM EXTEM parameters clotting time (CT), clot formation time (CFT), alpha-angle and maximum clot firmness (MCF) in blood with varying degrees of coagulation strengt

Research on long-term historical inequality has expanded to include previously neglected periods and societies, particularly in the global South. This is partly due to the resurgence of the social tables method in economic history, an approach which uses archival records to reconstruct income and wealth distributions in contexts where micro data is unavailable. This methodcan cause a downward bias

Following a landmark court ruling in 2005, more than half of Germany's universities started charging tuition fees, which were later abolished in a staggered manner. We exploit the fact that even students who were already enrolled had to start paying fees. We show that fees increase study effort and degree completion among these students. However, fees also decrease first-time university enrollment