A5091664043- AI in cancer detection
- Single-cell and spatial transcriptomics
- Toxoplasma gondii Research Studies
- Colorectal Cancer Screening and Detection
- Cytomegalovirus and herpesvirus research
- Parasitic Infections and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Gene expression and cancer classification
- Bacteriophages and microbial interactions
- Molecular Biology Techniques and Applications
- Delphi Technique in Research
- Immune Response and Inflammation
- Nutrition, Genetics, and Disease
- Digital Imaging for Blood Diseases
- Oral health in cancer treatment
- Health, Environment, Cognitive Aging
- Psychedelics and Drug Studies
- Machine Learning in Healthcare
- Dementia and Cognitive Impairment Research
- Cancer Genomics and Diagnostics
- Genetic Associations and Epidemiology
- Psychotherapy Techniques and Applications
- Immune cells in cancer
- Digestive system and related health
- Cellular Mechanics and Interactions
Edinburgh Cancer Research
2023-2025
University of Warwick
2025
Shanghai Jiao Tong University
2021-2024
Queen's University Belfast
2023
University of Liverpool
2018-2023
Yahoo (United Kingdom)
2008
Fingerprints are complex and individually unique patterns in the skin. Established prenatally, molecular cellular mechanisms that guide fingerprint ridge formation their intricate arrangements unknown. Here we show ridges epithelial structures undergo a truncated hair follicle developmental program fail to recruit mesenchymal condensate. Their spatial pattern is established by Turing reaction-diffusion system, based on signaling between EDAR, WNT, antagonistic BMP pathways. These signals...
The in vitro 3D culture of intestinal epithelium is a valuable resource the study its function. Organoid exploits stem cells' ability to regenerate and produce differentiated epithelium. Intestinal organoid models from rodent or human tissue are widely available whereas large animal not. Livestock enteric zoonotic diseases elicit significant morbidity mortality populations. Therefore, livestock species-specific may offer novel insights into host-pathogen interactions disease responses....
Spatial transcriptomics (ST) provides insights into the tumor microenvironment (TME), which is closely associated with cancer prognosis, but ST has limited clinical availability. In this study, we provide a powerful deep learning system to augment TME information based on histological images for patients without data, thereby empowering precise prognosis. The two connections bridge existing gaps. first integrated graph and image (IGI-DL) model, predicts expression 0.171 increase in mean...
Identifying individuals with mild cognitive impairment (MCI) at risk of progressing to Alzheimer's disease (AD) provides a unique opportunity for early interventions. Therefore, accurate and long-term prediction the conversion from MCI AD is desired but, date, remains challenging. Here, we developed an interpretable deep learning model featuring novel design that incorporates interaction effects multimodality improve accuracy horizon MCI-to-AD progression.
When transmitted through the oral route, Toxoplasma gondii first interacts with its host at small intestinal epithelium. This interaction is crucial to controlling initial invasion and replication, as well shaping quality of systemic immune response. It therefore an attractive target for design novel vaccines adjuvants. However, due a lack tractable infection models, we understand surprisingly little about molecular pathways that govern this interaction. The in vitro culture epithelium 3D...
Single cell RNA sequencing (scRNA-seq) is a powerful tool in detailing the cellular landscape within complex tissues. Large-scale single transcriptomics provide both opportunities and challenges for identifying rare cells playing crucial roles development disease. Here, we develop GapClust, light-weight algorithm to detect types from ultra-large scRNA-seq datasets with state-of-the-art speed memory efficiency. Benchmarking on diverse experimental demonstrates superior performance of GapClust...
Accurately predicting patient survival is essential for cancer treatment decision. However, the prognostic prediction model based on histopathological images of stomach patients still yet to be developed. We propose a deep learning-based (MultiDeepCox-SC) that predicts overall in with by integrating images, clinical data, and gene expression data. The MultiDeepCox-SC not only automatedly selects patches more information prediction, without manual labeling but also identifies genetic risk...
Background Environmental factors play a role in the pathogenesis of complex traits including atopic eczema (AE) and greater understanding gene-environment interactions (G*E) is needed to define pathomechanisms for disease prevention. We analysed data from 16 European studies test interaction between 24 most significant AE-associated loci identified genome-wide association 18 early-life environmental factors. tested replication using further 10 vitro modelling independently assess findings....
Breast cancer (BRCA) is the most common type of in women worldwide, with distant metastases frequently occurring skeleton. Bone metastasis BRCA often leads to severe bone pain, pathological fractures, spinal cord compression, and other complications, significantly reducing patients' quality life. Recently, role intestinal microbes has gained increasing attention. As a complex ecosystem, microbiota influences occurrence progression through immune regulation, metabolite production (such as...
Multiple environmental and genetic factors play a role in the pathogenesis of atopic eczema (AE). We aimed to investigate gene-environment interactions (G × E) improve understanding pathophysiology. analysed data from 16 European studies test for interaction between 24 most significant AE-associated loci identified genome-wide association 18 early-life factors. tested replication using further 10 vitro modeling independently assess findings. The discovery analysis (including 25,339...
ABSTRACT The subjective effects and therapeutic potential of the shamanic practice journeying is well known. However, previous research has neglected to provide a comprehensive assessment shamanic‐like techniques on non‐shamans. Shamanic‐like are those that demonstrate some similarity practices yet deviate from what may genuinely be considered shamanism. Furthermore, personality traits influence individual susceptibility unclear. aim present study was, thus, investigate experimentally effect...
Identifying personalized driver genes is essential for discovering critical biomarkers and developing effective therapies of cancers. However, few methods consider weights different types mutations efficiently distinguish over a larger number passenger genes. We propose MinNetRank (Minimum used Network-based Ranking), new method prioritizing cancer that sets mutations, considers the incoming outgoing degree interaction network simultaneously, uses minimum strategy to integrate multi-omics...
Accurate treatment response assessment using serial CT scans is essential in oncological clinical trials. However, oncologists' following the Response Evaluation Criteria Solid Tumors (RECIST) guideline subjective, time-consuming, and sometimes fallible. Advanced liver cancer often presents multifocal hepatic lesions on imaging, making accurate characterization more challenging than with other malignancies. In this work, we developed a tumor volume guided comprehensive objective evaluation...
ABSTRACT Interpreting the tumor microenvironment (TME) heterogeneity within solid tumors presents a cornerstone for precise disease diagnosis and prognosis. However, while spatial transcriptomics offers wealth of data, ranging from gene expression location to corresponding Hematoxylin Eosin (HE) images, explore TME various cancers, its high cost demanding infrastructural needs significantly limit clinical application, highlighting need more accessible alternatives. To bridge this gap, we...
Abstract Cross-talk between dendritic cells (DCs) and the intestinal epithelium is important in decision to mount a protective immune response pathogen or regulate potentially damaging responses food antigens microbiota. Failures this decision-making process contribute development of inflammation, making molecular signals that pass DCs epithelial potential therapeutic targets. Until now, vitro models with sufficient complexity understand these interactions have been lacking. Here, we outline...