Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Fola et al. perform a nationwide genomic surveillance study of P. falciparum parasites across Zambia from samples collected in 2018 and report key genetic metrics informing transmission intensity, genetic relatedness, and selection. These genomic surveillance data highlight the need to strengthen malaria control and surveillance of drug resistance.
Felton et al. conduct a systematic review to determine the utility of islet autoantibodies as biomarkers of type 1 diabetes heterogeneity. They find that islet autoantibodies are most likely to be useful for patient stratification prior to clinical diagnosis.
Bueichekú et al. use multimodal in vivo neuroimaging to investigate the brain characteristics of individuals presenting unawareness of memory loss who are at risk of Alzheimer’s disease due to age. They find unawareness of memory decline is an early behavioral sign that a person might develop Alzheimer’s disease.
Grover et al. describe the training, deployment, and evaluation of real-time super-resolution imaging for MRI-guided radiation therapy. Volunteer, phantom, and simulation experiments demonstrate that super-resolution can increase the spatiotemporal resolution of real-time MRI guidance.
Esposito et al. investigate the genetic basis of response to BNT162b2 mRNA COVID-19 vaccine in 1351 Italian subjects. They find variants in the human leukocyte antigen locus significantly associate with serum anti-SARS-CoV-2 antibody levels, after vaccination.
Mahbub et al. introduce a question-answering framework to extract injection drug use (IDU) details from unstructured clinical notes. The proposed framework demonstrates high performance and extracts IDU details efficiently, facilitating informed care for those who inject drugs.
Galhaut et al. evaluate the immunogenicity and efficacy of an inactivated whole virus COVID-19 vaccine in animal models. VLA2001 adjuvanted with alum and CpG 1018 generates polyfunctional Th1 cell responses and specific neutralizing antibodies to several SARS-CoV-2 variants of concern and protects macaques from viral replication and inflammation.
Fredolini et al. present a proteomics analysis of home-sampled dried blood spots taken from the general population in Stockholm during the COVID-19 pandemic. The study provides insights into the molecular effects of SARS-CoV-2 infection in non-hospitalized individuals and demonstrates the compatibility of self-sampled blood spots with proteomics.
Wang, Yang et al. propose KnowDDI, a graph neural network that leverages biomedical knowledge graphs for drug-drug interaction predictions. The model yields improved performance and interpretability over existing methods, especially in scenarios with sparse knowledge graphs, marking a significant advancement in biomedicine and healthcare.
Ptacin et al. utilize a semi-synthetic microbial platform with an expanded genetic code to discover a PEGylated IL-2 compound that stimulates Tregs, with minimal effects on effector populations. Studies in mice and primates demonstrate Treg stimulation and support development of this compound for the potential treatment of autoimmune diseases.
Robitaille et al. report findings from a phase IIb randomized placebo-controlled trial evaluating the effect of a long-chain omega-3 fatty acid MAG-EPA dietary supplement on prostate cancer proliferation. The dietary supplement had no effect on the primary outcome of prostate cancer proliferation according to Ki-67 expression.
Le Buanec, Schiavon, Merandet et al. study the underlying immune responses for the elevation of IFNα that occurs during an antiretroviral treatment interruption in HIV patients. IFNα mediated induction of CCR5 is shown to promote pathogenic phenotype, while elite controllers avoid this by an unknown genetic factor or a low inoculum infection.
Le Buanec et al. compared distribution and frequency of cell markers associated with immune dysfunction between HIV elite controllers (EC) and untreated non-EC. They demonstrate that untreated HIV-infected individuals exhibit structurally and functionally impaired immune subsets, as a consequence of excessive levels of serum IFNα.
Wu, Zeng et al. assess the feasibility and efficacy of AAV9:PKP2 gene therapy in the Pkp2-cKO mouse model of arrhythmogenic right ventricular cardiomyopathy. They show that it ameliorates ventricular arrhythmias, reverses adverse right ventricular remodeling, improves heart function, and reduces mortality in this mouse model.
Kjerulff et al. evaluate 47 biomarkers, including markers of inflammation and vascular stress, and their associations with demographic and lifestyle factors in healthy participants from the Danish Blood Donor study. Circulating biomarker levels varied according to sex, age, BMI and smoking status.
Mujahid et al. develop a type 1 diabetes patient simulator using a conditional sequence-to-sequence deep generative model. Their approach captures causal relationships between insulin, carbohydrates, and blood glucose levels, producing virtual patients with similar responses to real patients in open and closed-loop insulin therapy scenarios.
Czech et al. develop and clinically validate a sensor-based approach to measure upper and lower body bradykinesia in an early Parkinson’s disease population. Results demonstrate enhanced sensitivity of sensor-based digital measurements to disease progression over one year relative to current clinical measurement standards.
Geanes et al. demonstrate that COVID-19 severity is associated with increased levels of IgG, IgA, IgM antibodies to ACE2 and other immune molecules. These findings expand the understanding of immune mechanisms in COVID-19 and suggest that the evaluation of autoantibody levels to immune factors may serve as a potential biomarker for COVID-19 severity.
Arslan et al. present the results of a comprehensive pan-cancer study evaluating deep learning-based multi-omic biomarker profiling using H&E-stained whole slide images. They show that deep learning can predict a wide range of biomarkers across the omics spectrum and in different cancers directly from histomorphology.
Tayebi Arasteh, Ziller et al. investigate how strict privacy safeguards affect AI learning in medical imaging. Their study finds that while enforcing privacy leads to a modest drop in accuracy, it does not exacerbate biases for different patient groups, though accuracy for intricate cases and specific subgroups may be more affected.