Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest available dataset of its kind to assess nuclear segmentation and cellular composition. Our challenge, named CoNIC, stimulated the development of reproducible algorithms for cellular recognition with real-time result inspection on public leaderboards. We conducted an extensive post-challenge analysis based on the top-performing models using 1,658 whole-slide images of colon tissue. With around 700 million detected nuclei per model, associated features were used for dysplasia grading and survival analysis, where we demonstrated that the challenge's improvement over the previous state-ofthe-art led to significant boosts in downstream performance. Our findings also suggest that eosinophils and neutrophils play an important role in the tumour microevironment. We release challenge models and WSIlevel results to foster the development of further methods for biomarker discovery.

ObjectivesWe aimed to stratify the possible risk factors for diabetic cardiac autonomic neuropathy (CAN).MethodsWe did a meta-analysis of risk factors of CAN. We did a web-based search for literature in MEDLINE/PubMed, Scopus database and CENTRAL database up to August 2015. We included clinical trials or cohort studies that provide data about relationship between CAN and variables of interest. Our risk factors of interest were age, sex, duration of diabetes, body mass index (BMI), systolic blood pressure (sBP) and diastolic blood pressure (dBP), glycated haemoglobin (HbA1c), high-density lipoprotein and low-density lipoprotein (HDL and LDL), triglycerides, retinopathy and nephropathy. We generated Forest plots, χ2 test and I2 as tests for heterogeneity, risk ratio (RR), mean difference (MD), CIs and p values by ReVMan V.5.3 software.ResultsWe found a total of 882 related items. We excluded 873 studies from the title and abstract and 4 studies after review of full reports. Four studies were included. Our meta-analysis showed significant association between CAN and age (MD=4.94 (3.46 to 6.42)), duration of diabetes (MD=4.51 (2.51 to 6.52)), HbA1c (MD=0.48 (0.28 to 0.67)), BMI (MD=0.55 (0.08 to 1.01)), serum triglycerides (MD=0.09 (0.01 to 0.17)), proliferative retinopathy (RR=3.69 (1.20 to 11.34)), microalbuminuria (RR=2.47 (1.43 to 4.29)), hypertension (RR=4.18 (2.52 to 6.91)) and sBP (MD=4.10 (2.20 to 6.00)). We neither discovered the absence of significant association between the development of CAN and male sex (RR=1.57 (0.45 to 5.39)), dBP (MD=0.89 (−0.36 to 2.14)), cholesterol level (MD=1.19 (−0.99 to 3.36)), LDL (MD=0.12 (−0.15 to 0.39)), nor HDL level (MD=−0.28 (−0.58 to 0.03)).ConclusionsAge, duration of diabetes, HbA1c, BMI, serum triglycerides, proliferative retinopathy, microalbuminuria, hypertension and sBP are directly related to the risk of development of diabetic CAN.

Background: The practice of female genital mutilation (FGM) is widespread in Sudan. Over the years, the government, civil society and the international community implemented multiple interventions to address the issue. However, due to a number of cultural and educational factors, this harmful practice continues. Aims: This study aimed to assess the effects of a secondary school-based health education intervention on the knowledge and attitude of female students towards FGM in Sudan. Methods: We conducted a quasi-experimental study in Karary Locality, Khartoum State, Sudan. A multistage sampling technique was used to determine targeted schools. Within the schools, students of two randomly selected classes received the intervention. The study included three phases; in the pre-intervention phase, data were collected from the totality of students (154 students) using a pre-tested questionnaire, after which students received health education sessions. The same questionnaire was used to recollect the data in a post-intervention phase 6 weeks later. Results: The participants were between 14 to 17 years old, 30.3% of which were subjected to FGM. The main source of information about FGM was family and friends (41.1%). The majority of participants had a negative attitude towards FGM. The means of knowledge and attitude scores increased from 8.63 (SD=2.562) and 5.76 pre-intervention (SD=1.937) to 11.99 (SD=2.264) and 6.53 post-intervention (SD=1.164), respectively. Conclusions: School-based health education has a positive impact on both knowledge and attitude of female students towards FGM in Sudan. As such, introducing health education about the complications of FGM in curricula of secondary schools in Sudan has the potential to improve students' knowledge and attitude. Ultimately, such interventions can help reduce the prevalence of the practice when students become responsible for future families.

Immunotherapy deals with therapeutic interventions to arrest the progression of tumours using the immune system. These include checkpoint inhibitors, T-cell manipulation, cytokines, oncolytic viruses and tumour vaccines. In this paper, we present a survey of the latest developments on immunotherapy in colorectal cancer (CRC) and the role of artificial intelligence (AI) in this context. Among these, microsatellite instability (MSI) is perhaps the most popular IO biomarker globally. We first discuss the MSI status of tumours, its implications for patient management, and its relationship to immune response. In recent years, several aspiring studies have used AI to predict the MSI status of patients from digital whole-slide images (WSIs) of routine diagnostic slides. We present a survey of AI literature on the prediction of MSI and tumour mutation burden from digitised WSIs of haematoxylin and eosin-stained diagnostic slides. We discuss AI approaches in detail and elaborate their contributions, limitations and key takeaways to drive future research. We further expand this survey to other IO-related biomarkers like immune cell infiltrates and alternate data modalities like immunohistochemistry and gene expression. Finally, we underline possible future directions in immunotherapy for CRC and promise of AI to accelerate this exploration for patient benefits.

Background: Pharmacists play an essential role in educating the epileptic patients about their disease and their medications. Improving the patient’s awareness may lead to improve their compliance and decrease drug-drug interaction and ultimately improve their quality of life. Objective: This study aimed to assess the pharmacist’s knowledge about anti-epileptic drugs in Khartoum State, Sudan. Method: We conducted a descriptive cross-sectional study in Khartoum State, Sudan. Proportionate stratified sampling was used to determine the targeted Pharmacies, and all pharmacists who were present in the selected pharmacy at the time of data collection and fulfilled our selection criteria were included in the study. A structure closed-ended questionnaire was used to collect quantitative data from candidates. Results: Majority of participants were female (66.9%), less than 30 years old (66.7%) and have less than 5 years of experience (62.1%). Unfortunately, the majority of the participants (85.3%) had poor knowledge, and only (14.7%) of them had good knowledge. Furthermore, the study revealed that age (p =.030), years of experience (p =.026) and the degree in pharmacy (p = .003) were significantly associated with knowledge level. Conclusions: Majority of the pharmacists in Khartoum State have poor knowledge about anti-epileptic drugs. Further research is needed to investigate the actual factors behind this knowledge gap and to propose interventions to improve the pharmacist’s knowledge and practice aiming to improve the quality of health care provided to the patients.