Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases by Min Kyung Sung, Hyoeun Bang, Jung Kyoon Choi

“…Assigned genes were significantly enriched in known disease associated gene sets, which were explored based on the literature, suggesting that this approach is useful for detecting relevant affected genes. …”
Get full text

Leveraging allelic imbalance to refine fine-mapping for eQTL studies. by Jennifer Zou, Farhad Hormozdiari, Brandon Jew, Stephane E Castel, Tuuli Lappalainen, Jason Ernst, Jae Hoon Sul, Eleazar Eskin

“…In this work, we develop a novel statistical method that leverages both AIM and total expression data to detect causal variants that regulate gene expression. …”
Get full text

Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model. by Britta Trautwein, Meinrad Beer, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer, Michael Götz

“…<h4>Discussion</h4>In the perioperative setting, detecting POPC before they become clinically manifest is desirable. …”
Get full text

The Ecological Dynamics of Fecal Contamination and Salmonella Typhi and Salmonella Paratyphi A in Municipal Kathmandu Drinking Water. by Abhilasha Karkey, Thibaut Jombart, Alan W Walker, Corinne N Thompson, Andres Torres, Sabina Dongol, Nga Tran Vu Thieu, Duy Pham Thanh, Dung Tran Thi Ngoc, Phat Voong Vinh, Andrew C Singer, Julian Parkhill, Guy Thwaites, Buddha Basnyat, Neil Ferguson, Stephen Baker

“…Our data signify that the municipal water in Kathmandu is a predominant vehicle for the transmission of S. …”
Get full text

Clinical procedures used to diagnose inflammatory bowel disease: real-world evidence from a Danish nationwide population-based study by Tine Jess, Kristine Højgaard Allin, Nathalie Fogh Rasmussen, Vibeke Andersen, Anders Green, Aske T Iversen, Gunvor Iben Madsen, Andreas Kristian Pedersen, Donna Lykke Wolff

“…This study used real-life data to characterise the current diagnostic procedures used to establish IBD diagnoses in a Danish nationwide setting.Design Person-level data on patients diagnosed with IBD between 1 January 2014 and 30 June 2018 were linked between Danish health registers. …”
Get full text

An enhanced multimodal fusion deep learning neural network for lung cancer classification by Sangeetha S.K.B, Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik, Hong Qin

“…Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in the field of medical image analysis, revolutionizing the way cancer is detected and diagnosed. The study discusses the various modalities employed in lung cancer diagnosis, such as medical imaging (e.g., radiology and pathology), genomics, and clinical data, highlighting the unique challenges associated with each domain. …”
Get full text

Association of Myeloma in Patients of Chronic Kidney Disease; A Single Centered Study by Farzana Adnan Sheikh, Syed Tajammul Ali, Sidra Rashid, Mehwish Qamar, Khadijah Abid

“…Methodology: Patients of age>18 years of either gender having chronic kidney disease were included in the study. Detailed data regarding socio-demographic factors, clinical features and presence of multiple myeloma was obtained. …”
Get full text

Emerging and Pioneering AI Technologies in Aesthetic Dermatology: Sketching a Path Toward Personalized, Predictive, and Proactive Care by Diala Haykal

“…Some of the key benefits of AI in aesthetic dermatology include the ability to detect subtle skin changes, simulate treatment outcomes, and adjust interventions in real time. …”
Get full text

Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia by Ewunate Assaye Kassaw, Ewunate Assaye Kassaw, Ashenafi Kibret Sendekie, Ashenafi Kibret Sendekie, Bekele Mulat Enyew, Biruk Beletew Abate, Biruk Beletew Abate

“…The responses served as features to train and test machine learning (ML) models. To address data imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. …”
Get full text

Smart diabetes management: remote monitoring and predictive health insights by K.S. Smelyakov, I.A. Lurin, K.V. Misiura, A.S. Chupryna, T.V. Tyzhnenko, O.D. Dolhanenko, V.M. Repikhov

“…Traditional diabetes monitoring methods, such as fingerstick blood tests, are limited in providing real-time data. Newer CGM technologies like Dexcom and Freestyle Libre enable continuous, non-invasive monitoring of glucose levels, producing time series data essential for detecting patterns and predicting dangerous fluctuations (hypo- or hyperglycemia). …”
Get full text

Evaluation of post-market adverse events of lubiprostone: a real-world adverse event analysis from the FAERS database by Qingqing Li, Jijun Zhang, Chuanli Yang, Xiushan Dong, Yan Wang

“…Methods Data from the FDA Adverse Event Reporting System (FAERS) database were collected from the second quarter of 2006 to the fourth quarter of 2023. …”
Get full text

Pragmatic clustered randomised control trial to evaluate a self-regulated learning intervention to be implemented in South Australian primary schools—study protocol by S.A Brinkman, B. Lam, S. Dawson, R. Marrone, D. Schunk, K. Winkel, H. Hermes, F. Gabriel, S. Fowler, D. Engelhardt

“…Follow-up via the South Australia Data Linkage Systems will allow for longer-term academic outcomes, mental health, school completion, criminal justice, and tax data. …”
Get full text

The Effect of Hearing Aid Amplification on Gait Parameters: A Pilot Study Using Ear-Worn Motion Sensors by Ann-Kristin Seifer, Arne Küderle, Kaja Strobel, Ronny Hannemann, Björn M. Eskofier

Get full text

A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts? by Nicola White, Fiona Reid, Adam Harris, Priscilla Harries, Patrick Stone

“…<h4>Eligibility criteria</h4><h4>Inclusion criteria</h4>patients over 18, palliative population and setting, quantifiable estimate based on real patients, full publication written in English.…”
Get full text

The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…Abstract Background Positional acoustic telemetry permits high-resolution (2D and 3D) tracking of tagged fish based on the speed of sound and time at which acoustic signals are detected at independent receivers. Such positional data has important implications for understanding fish behavior in hydropower tailraces, where movement and fishway passage may be influenced by complex hydraulic conditions. …”
Get full text

Updating the distribution of sand flies in Hungary with implications on their biology and ecology by Katharina Platzgummer, Edwin Kniha, Vít Dvorak, Petr Halada, Julia Walochnik, Barbora Vomackova Kykalova, Ida Hanusniakova, Robert Farkas, Petr Volf, Attila J. Trájer

“…However, the sand fly fauna of Central Europe remains underreported, particularly in Hungary where recent data is lacking due to limited and outdated entomological surveys. …”
Get full text

Global consumption of protein and calories: Interrelation with the diet and products for elimination of deficiency by A. A. Stepanova, L. K. Asyakina

“…Diets of their populations are more balanced; however, they include significant amounts of saturated fats and simple carbohydrates. Analysis of the data array containing information about 100 healthiest foods taken from Kaggle and processed in the program Power BI was able to reveal products that are most rich in protein, dietary fiber and vitamin C, as well as to detect the antioxidant index of products, their caloric content and geographical origin. …”
Get full text

ALE interpretability analysis based on machine learning MOFs adsorption of tetracycline antibiotics in water by Zhang Canhui, Wang Sitan

“…In this study, machine learning (ML) method was used to train MOFs to adsorb TCs, and a ML model was obtained to accurately predict the adsorption of TCs by MOFs. Data sets for model training and evaluation were constructed by collecting data from literature. …”
Get full text

Inspection of railway catenary systems using machine learning with domain knowledge integration by Kacper Marciniak, Paweł Majewski, Jacek Reiner

“…The application of machine learning methods to this problem is non-trivial, due to various constraints, including the cost of data acquisition. This paper presents innovative solutions leveraging domain knowledge to significantly improve the inference quality of machine learning models using existing training data. …”
Get full text

Implementation of a Kidney Genetic Service Into the Diagnostic Pathway for Patients With Chronic Kidney Disease in Canada by Clara Schott, Monica Arnaldi, Cadence Baker, Jian Wang, Adam D. McIntyre, Samantha Colaiacovo, Sydney Relouw, Gabriela Almada Offerni, Carla Campagnolo, Logan R. Van Nynatten, Ava Pourtousi, Alexa Drago-Catalfo, Victoria Lebedeva, Michael Chiu, Andrea Cowan, Guido Filler, Lakshman Gunaratnam, Andrew A. House, Susan Huang, Hariharan Iyer, Arsh K. Jain, Anthony M. Jevnikar, Khaled Lotfy, Louise Moist, Faisal Rehman, Pavel S. Roshanov, Ajay P. Sharma, Matthew A. Weir, Kendrah Kidd, Anthony J. Bleyer, Robert A. Hegele, Dervla M. Connaughton

“…Genetic testing using gene panel or targeted exome sequencing (ES) can confirm GKD; however, integration into clinical practice has been hampered by small studies, selective populations, and data predominately derived from research settings. …”
Get full text