Risk assessment tools for identifying individuals at risk of developing type 2 diabetes

Cited by (297)

Items 201–297 of 297

1. Evaluation and refinement of the PRESTARt tool for identifying 12–14 year olds at high lifetime risk of developing type 2 diabetes compared to a clinicians assessment of risk: a cross-sectional study
   on behalf of the PRE-STARt Collaborative, Laura J. Gray, Emer M. Brady, Olatz Albaina, Charlotte Louise Edwardson, Deirdre M. Harrington, Kamlesh K. Khunti, Joanne K. Miksza, João Filipe Raposo, Ellesha Smith et al. · 2019 · BMC Endocrine Disorders
2. Improving the risk management of Type 2 diabetes mellitus in China from the perspective of social relationships
   Xiaojia Wang, Mi Chen, Wei Xia, Kèyù Zhü, Shanshan Zhang, Weiqun Xu, Yuxiang Guan · 2019 · Expert Systems
3. Epidemiology of Diabetes
   Matthias Bernd Schulze, Frank B. Hu · 2022 · Springer eBooks
4. How to improve opportunistic screening by using EMRs and other data. The prevalence of undetected diabetes mellitus in target population in Croatia
   Marija Vrca Botica, Linda Carkaxhiu, Josipa Kern, Ivana Pavlić Renar, Iva Botica, Ines Zelić, Дарко Илиев, Anđelko Vrca · 2017 · Public Health
5. Real-time patient-specific-dose in CT through use of artificial intelligence
   Madan Mohan Rehani, Anjith Prakash · 2024 · Journal of Radiological Protection
6. Predictive modeling for incident and prevalent diabetes risk evaluation
   Katya L Masconi, Justin Basile Echouffo-Tcheugui, Tandi Edith Matsha, Rajiv Timothy Erasmus, André Pascal Kengne · 2015 · Expert Review of Endocrinology & Metabolism
7. Screening for identifying individuals at risk of developing type 2 diabetes using the Canadian diabetes risk (CANRISK) questionnaire
   Elida Zairina, Arie Sulistyarini, Gesnita Nugraheni, Sindy Irvana Kurnia Saputri, Ayudika Permatasari, Elinda Eka Rachmawati · 2021 · Journal of Public Health
8. A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
   Nasrin Chekin, Haleh Ayatollahi, Mojgan Karimi‐Zarchi · 2022 · JMIR Medical Informatics
9. Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria
   Anayochukwu Edward Anyasodor, Ezekiel Uba Nwose, Phillip Bwititi, Ross Stuart Richards · 2022 · Frontiers in Public Health
10. Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study
    James Osei-Yeboah, André Pascal Kengne, Ellis Owusu‐Dabo, Matthias Bernd Schulze, Karlijn A. C. Meeks, Kerstin Klipstein‐Grobusch, Liam L Smeeth, Silver Bahendeka, Erik Beune, Eric P. Moll van Charante et al. · 2023 · Public Health in Practice
11. Transcriptomics und Typ-2-Diabetes
    Christian Herder, Michael Roden, Maren Carstensen, Thomas Illig, Holger Prokisch · 2012 · Der Diabetologe
12. Prognostic value of myocardial performance index in individuals with type 1 and type 2 diabetes: Thousand&1 and Thousand&2 studies.
    H. Bahrami, P. G. Jørgensen, J. Hove, U. Dixen, T. Biering-Sørensen, P. Rossing, M. Jensen · 2023 · European Heart Journal-Cardiovascular Imaging
13. Diabetesrisikoscores
    Kristin Mühlenbruch, Matthias Bernd Schulze · 2014 · Der Diabetologe
14. Predicting type 2 diabetes mellitus and insulin resistance
    Viswanathan Mohan · 2012 · International Journal of Diabetes in Developing Countries
15. Type 2 diabetes risk prediction—Do biomarkers increase detection?
    Laura J. Gray, Kamlesh K. Khunti · 2013 · Diabetes Research and Clinical Practice
16. Nurse Practitioner Perceptions of a Diabetes Risk Assessment Tool in the Retail Clinic Setting
    Kristen L. Marjama, JoAnn S. Oliver, Jennifer Hayes · 2016 · Clinical Diabetes
17. Carotid Bodies: Use of Chemosensitivity as a Biomarker in Prediabetes
    Sílvia V. Conde, Marlene Lages, Maria P. Guarino, Joana F. Sacramento · 2022 · Biomarkers in disease
18. Management of type 2 diabetes mellitus and prediction of cardiovascular complications
    Susan van Dieren, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Epidemiology & Health Economics, Yvonne T. van der Schouw, Joline W. J. Beulens, Linda M. Peelen · 2013 · Utrecht University Repository (Utrecht University)
19. Trends in obesity and type 2 diabetes : ethnic aspects and links to adipokines
    Mikael Lilja · 2011 · DiVA at Umeå University (Umeå University)
20. Effect of Sphingosine-1-Phosphate Receptor Modulators on Insulin Resistance: A Review
    Sarah Lopez, Luciano Martínez Martínez, Andrea Bartolomé Figueroa, Ana Rodríguez Regal · 2026 · Annals of Pharmacotherapy
21. Development and validation of a diabetes risk score among two populations
    Natalie V. Schwatka, Derek E. Smith, Ashley P. Golden, Molly Tran, Lee Scott Newman, Donna L. Cragle · 2021 · PLoS ONE
22. Development and Validation of a Risk Score for Diabetes Screening in Oman
    Najla Al Lawati, Helman S. Alfonso, Jawad Ahmed Al-Lawati · 2021 · Oman Medical Journal
23. Diabetes Risk Score of Adult Applications to Primary Health Care Center: A Cross-Sectional Study
    Hasan EVCİMEN, Neşe İŞCAN AYYILDIZ, Ufuk Doğan · 2023 · Van Sağlık Bilimleri Dergisi
24. Pros and cons of live kidney donation in prediabetics: A critical review and way forward
    Muhammad Abdul Mabood Khalil, Nihal Mohammed Sadagah, Jackson C. Tan, Furrukh Omair Syed, Vui Heng Chong, Salem H Al-Qurashi · 2024 · World Journal of Transplantation
25. Development and validation of a risk assessment tool for uncontrolled type 2 diabetes among patients in South Karnataka, India
    Deepak Anil, Sunil Kumar Doddaiah, Rajendra Prasad Shivaswamy, Arun Gopi, Sayana Basheer, Mysore Ramakarishnaiah Narayana Murthy · 2024 · BMJ Public Health
26. Risk assessment of diabetes using the Indian Diabetes Risk Score among older adults: Secondary analysis from the Longitudinal Ageing Study in India
    Saurav Basu, Vansh Maheshwari, Debolina Roy, Mahira Saiyed, Rutul A. Gokalani · 2024 · Diabetes & Metabolic Syndrome Clinical Research & Reviews
27. Development of a Prediction Model for Predicting 10‐year Incidence of Type 2 Diabetes in Japanese People; Panasonic Cohort Study 7
    Chihiro Munekawa, Go Horiguchi, Akari Naito, Masahide Hamaguchi, Kazushiro Kurogi, Hiroaki Murata, Masato Ito, Akihiro Obora, Takao Kojima, Hiroshi Okada et al. · 2025 · Diabetes/Metabolism Research and Reviews
28. Integrated genomic and BMI analysis for type 2 diabetes risk assessment
    Dayanara Lebrà n-Aldea, Emily Jane Dhurandhar, Paulino Pérez‐Rodríguez, Yann C. Klimentidis, Hemant K. Tiwari, Ana Ines Vazquez · 2015 · Frontiers in Genetics
29. Construction of risk prediction model of type 2 diabetes mellitus based on logistic regression
    Jian Li, Qin Huang, Minghua Dong, Wei Qiu, Lixia Jiang, Xiaoting Luo, Zhengchun Huang, Shuiqin Chen, Qinfeng Wu, Lu Ou-Yang et al. · 2017 · BIO Web of Conferences
30. Screening for Diabetes and Prediabetes
    Laura J. Gray, Andrew M. Willis, David R. Webb, Melanie Jane Davies, Kamlesh K. Khunti · 2018 · Endocrinology
31. Le diabete de type 2: voyage au coeur d'une maladie complexe.
    André Jacques Scheen, Nicolas Paquot · 2012 · RMLG. Revue médicale de Liège
32. Threshold-free Evaluation of Medical Tests for Classification and Prediction: Average Precision versus Area Under the ROC Curve
    Wanhua Su, Yan Yuan, Mu Zhu · 2013 · arXiv (Cornell University)
33. FRAMR-EMR: Framework for Prognostic Predictive Model Development Using Electronic Medical Record Data with a Case Study in Osteoarthritis Risk
    Jason Edward Black, Amanda Lee Terry, Daniel J. Lizotte · 2017 · arXiv (Cornell University)
34. Risk factors for diabetes in recently arrived migrants in Scania, Sweden compared to the general population
    Slobodan Zdravkovic, Mathias Grahn, Elisabeth Mangrio, Margareta Rämgård, Magdalena Annersten Gershater · 2025 · Frontiers in Public Health
35. Diabetes Screening in the Emergency Department: Development of a Predictive Model for Elevated Hemoglobin A1c
    Mary H. Smart, Janet Lin, Brian Thomas Layden, Yuval Eisenberg, Alan Simon Pickard, Lisa K. Sharp, Kirstie K. Danielson, Angela Kong · 2025 · Journal of Diabetes Research
36. Developing risk models for predicting incidence of diabetes and prediabetes in the first-degree relatives of Iranian patients with type 2 diabetes and comparison with the finnish diabetes risk score
    Parisa Khodabandeh Shahraki, Awat Feizi, Sima Aminorroaya Yamini, Heshmatollah Ghanbari, Majid Abyar, Massoud Amini, Ashraf Aminorroaya · 2025 · Journal of Research in Medical Sciences
37. Development of risk prediction equations for 5-year diabetes incidence using Japanese health check-up data: a retrospective cohort study
    S. Kawasoe, T. Kubozono, S. Ojima, S. Yamaguchi, Koji Higuchi, H. Miyahara, K. Tokushige, Masaaki Miyata, Mitsuru Ohishi · 2025 · BMJ Open
38. Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review
    Anna Bußmann, Christian Speckemeier, Alexandra Ehm, Bettina Kollar, Anja Neumann, Silke Neusser · 2025 · PLoS ONE
39. Perceptions of barriers and facilitators to healthy eating: a photovoice study in a Colombian Caribbean community with diabetes risk factors
    Daniela Daza Juvinao, Rafael Tuesca Molina, Bree Hemingway, Tania Acosta, J.E. Rod · 2025 · BMC Public Health
40. Balçova’da 30 yaş ve üzeri diyabetlilerde tedavi alma ve kan glukoz düzeyinin kontrol altına alınma durumu
    Kevser Tarı Selçuk, Melih Kaan Sözmen, Belgin Ünal · 2015 · Türkiye Halk Sağlığı Dergisi
41. New-Onset Diabetes in Heart Failure Patients: A Complex Relationship with Clinical Implications
    Juana A. Flores‐Le Roux, Juan José Chillarón, David Benaiges, Juan Pedro‐Botet · 2014 · Journal of Cardiology and Therapy
42. Neue Biomarker und Gene in der Prädiktion des Typ-2-Diabetes
    Christian Herder, Thomas Illig · 2014 · Der Diabetologe
43. RETRACTED ARTICLE: New Insight into Improvement of Cardiovascular Outcomes with Intensive Glycemic Control in Patients with Metabolic Syndrome and Type 2 Diabetes Mellitus Included
    Fei Pei, Jian Sun · 2014 · Cell Biochemistry and Biophysics · Retracted
44. Components and validity of risk scores for screening for Type 2 diabetes mellitus
    Nguyen Thanh Chung, Andy H. Lee, Colin William Binns · 2012 · Diabetes Management
45. Biomarker und Risikoprädiktion des Typ-2-Diabetes
    Matthias Bernd Schulze, Bernd Kowall, Wolfgang Rathmann · 2012 · Der Diabetologe
46. Missing risks in opportunistic screening for type 2 diabetes - CroDiabGP study
    Marija Vrca Botica, Linda Carcaxhiu, Josipa Kern, Thomas Kuehlein, Iva Botica, Larisa Gavran, Ines Zelić, Дарко Илиев, Dijana Haralović, Anđelko Vrca · 2016 · Medicinski Glasnik
47. Risk for type 2 diabetes mellitus and associated factors Risco para diabetes mellitus tipo 2 e fatores associados
    Niciane Bandeira Pessoa Marinho, Hérica Cristina Alves de Vasconcelos, Alves de Vasconcelos, Ana María Parente‐Laverde, Garcia Alencar, Paulo César de Almeida, Marta María Coelho Damasceno · 2013
48. Comparison of Triglyceride/Glucose Index with the FINDRISC Diabetes Risk Questionnaire in Determining Diabetes Risk in Individuals Attending Periodic Health Examinations
    Nur Demirbaş, Ruhuşen Kutlu · 2020 · Bakirkoy Tip Dergisi / Medical Journal of Bakirkoy
49. Socio-demographic, Economic and Health Profile of Diabetic Patients Attending Some Primary Care Units in the City of Bukavu, Democratic Republic of Congo
    Ombeni Mahano Aladin, Ziruka Ntaboba Rachel, A. Florentin, Akonkwa Byamungu Brigitte, Salama Matumaini Béatrice, Birindwa Mulashe Patient, A. Jean, F. B. Viviane, M. K. Félicien · 2020 · International Journal of TROPICAL DISEASE & Health
50. Characterizing screening strategies for type 2 diabetes in high-risk ethnic communities: a scoping review protocol
    Foorough Kavian, Fiona Benton, Josephine McGill, Natalie D. Luscombe‐Marsh · 2021 · JBI Evidence Synthesis
51. Diabetes, Depression, and Cardiovascular Risk
    Marcel C. Adriaanse, Frans Pouwer · 2015 · Springer eBooks
52. Carotid Bodies:Use of Chemosensitivity as a Biomarker in Prediabetes
    Sílvia V. Conde, Marlene Lages, Maria P. Guarino, Joana F. Sacramento · 2022 · Biomarkers in disease
53. Metabolic risk factors in patients with comorbidity in Ufa primary health care
    О. В. Молчанова, A.V. Mamaeva, A.R. Dunayeva, Z.A. Lust, E.M. Faskhetdinova, Руслан Николаевич Шепель, D.O. Orlov, Жамалов Линар Маратович, Андреева Галия Фатиховна, Oksana M. Drapkina · 2022 · Russian Journal of Preventive Medicine
54. The role of single-nucleotide polymorphisms of some candidate genes of carbohydrate and fat metabolism in predicting the risk of type 2 diabetes mellitus
    Farida Vadutovna Valeeva, Хасанова Камиля Булатовна, Валеева Елена Валерьевна, Т. А. Киселева, Исламова Диана Рамилевна · 2023 · Aspirantskiy Vestnik Povolzhiya
55. Association between cancer risk assessment tool use and GP consultation duration: an observational study
    Emily Fletcher, John Campbell, Emma Pitchforth, Luke T. A. Mounce, William Trevor Hamilton, Gary Abel · 2024 · British Journal of General Practice
56. The Role of ncRNA in Diabetes
    Fatjon Leti, Matthew Taila, Johanna Kay DiStefano · 2014 · Springer eBooks
57. Diabetes, Depression, and Cardiovascular Risk
    Marcel C. Adriaanse, Frans Pouwer · 2016 · Springer eBooks
58. An Assessment of Knowledge and Evaluation of Risk on Developing Type II Diabetes Mellitus- a Prospective Study
    2017 · International Journal of Hospital Pharmacy
59. Screening Strategies for Type 2 Diabetes and Risk Stratification in Minorities
    André Pascal Kengne · 2018 · Updates in hypertension and cardiovascular protection
60. Validation of the Finnish Diabetes Risk Score (FINDRISC) in a Central‐European Population for the Prediction of Cumulative Incidence of Type 2 Diabetes Over 8‐Years—Follow‐Up of the Budakalász Health Examination Survey (BHES)
    Zsolt Bagyura, Loretta Zsuzsa Kiss, István Panykó, Beatrix Annamária Domján, Pál Soós, Zsolt Szelid, Béla Merkely, Ádám Gyula Tabák · 2025 · Diabetes/Metabolism Research and Reviews
61. Screening Under Scrutiny
    Robert Huntington Fletcher · 2011 · American Journal of Epidemiology
62. Evaluation of the German Diabetes Risk Score as a screening tool for undiagnosed diabetes
    Rebecca Paprott · 2012 · Publication server of the Robert Koch Institute (Robert Kock Institute)
63. The emerging role of HDL in glucose
    Kerry‐Anne Rye, Stephen James Duffy, Philip J. Barter, Bronwyn A. Kingwell · 2012
64. Letter to the Editor: “Use of biomarkers to identify new drug targets and to predict risk of cardiometabolic outcomes” by Holmegard HN, et al
    Ali Abbasi · 2016 · The Journal of Clinical Endocrinology & Metabolism
65. Biomarkers and prediction models for type 2 diabetes and diabetes related outcomes
    Ali Abbasi · 2013 · University of Groningen research database (University of Groningen / Centre for Information Technology)
66. Social Contexts in Postsecondary Pathophysiology Textbooks: How Type 2 Diabetes is Understood
    Sharon McCleave · 2013 · TSpace (University of Toronto)
67. Towards a personalized assessment of pancreatic function in diabetes
    Carey Sheu, Eustache Paramithiotis · 2017 · Expert Review of Precision Medicine and Drug Development
68. Screening for diabetes in dental settings
    2014 · Dental Abstracts
69. Risk Assessment of Future Type 2 Diabetes and Implication for Prevention
    Pietro Amedeo Modesti, Maria Calabrese, Giorgio Galanti · 2018 · Updates in hypertension and cardiovascular protection
70. Type 2 diabetes mellitus risk and prevalence: a descriptive study in communities of the Zamboanga Peninsula, Philippines
    Maryam Shirinzadeh · 2020 · MacSphere (McMaster University)
71. Risk Assessment for Diabetes
    Laura J. Gray · 2020 · Springer eBooks
72. Comparison of IDRS and ADA Diabetes Risk Assessment Tools Reveals Different Rsk Score in Same Population: A Cross-Sectional Analysis in a Tertiary Care Hospital
    Nazma Akter, N.K. Qureshi · 2021 · Journal of Diabetes and Endocrine Association of Nepal
73. New risk models for predicting diabetes and prediabetes in the first-degree relatives of patients with type 2 diabetes and a comparison with the FINDRIC
    Parisa Khodabandeh Shahraki, Awat Feizi, Sima Aminorroaya Yamini, Heshmatollah Ghanbari, Majid Abyar, Massoud Amini, Ashraf Aminorroaya · 2021 · Research Square
74. Diabetes risk assessment in Ahmedabad population using Indian diabetic risk score#
    K.M. Momin, Gira Thakrar · 2022 · Indian Journal of Health Sciences and Care
75. A Paixón e a Semana Santa en Galicia: coñecemento do medio cultural galego
    Felipe Senen López Gómez · 2002 · Dialnet (Universidad de la Rioja)
76. The Impact of Managerial Approach to Untreated Type -2 Diabetes using AI Techniques
    Priyabrata Sahu, Jibendu Kumar Mantri · 2021 · International Conference on Computational Intelligence and Computing Applications (ICCICA)
77. Correction: The Value of Genetic Information for Diabetes Risk Prediction – Differences According to Sex, Age, Family History and Obesity
    Kristin Mühlenbruch, Charlotte Jeppesen, Hans‐Georg Joost, Heiner Boeing, Matthias Bernd Schulze · 2013 · PLoS ONE
78. Diabetes mellitus
    Nigel C. Unwin, Jonathan E. Shaw · 2015
79. Bibliography
    2016 · Elsevier eBooks
80. Risk models for predicting diabetes and prediabetes in the first-degree Relatives (FDRs) of patients with type2 diabetic and its comparison with the Finnish Diabetes Risk Score (FINDRIC)
    Parisa Khodabandeh Shahraki, Awat Feizi, Sima Aminorroaya Yamini, Heshmatollah Ghanbari, Majid Abyar, Massoud Amini, Ashraf Aminorroaya · 2022 · Research Square
81. CONTROLE DE QUALIDADE FÍSICO-QUÍMICO DE INSUMO FARMACÊUTICO ATIVO PROVENIENTE DE FARMÁCIA MAGISTRAL
    Alexandre Santos Maia, Rúbia Adrieli Sversut, Nájla Mohamad Kassab, Aline Regina Hellmann Carollo, Teófilo Fernando Mazon Cardoso · 2022
82. CONDIÇÃO FARMACOTERAPÊUTICA DE CRIANÇAS COM DEFICIÊNCIA
    Juliana Fernandes, Louise Suzy Mendes Matricardi, Matheus Rodrigues Ramirez da Silva, Anniélly de Arruda Scherer, Ariel Marcos da Silva, Maria Tereza Ferreira Duenhas Monreal, Aline Regina Hellmann Carollo, Jesús Rafael Rodríguez Amado, Nájla Mohamad Kassab, María Angélica Marcheti et al. · 2022
83. Validation du modèle pronostique CANRISK pour l’évaluation du risque de diabète dans la population multi-ethnique du Canada
    C.A. Robinson, Gina Agarwal, Kara A. Nerenberg · 2011 · Maladies chroniques et blessures au Canada
84. Finnish Diabetes Risk Scores Positively Correlates Some Anthropometric Parameters in Young Adult Nigerians
    Anthony Chibuzor Nnamudi, Noghayin E. J. Orhue, I. I. Ijeh · 2022 · Nigerian Journal of Life Sciences
85. Development and Validation of a Risk Assessment Tool for Uncontrolled Type 2 Diabetes Among Patients in South India
    Deepak Anil, Dinesh Kumar, Rajendra Prasad Shivaswamy, Arun Gopi, Sayana Basheer, Deepika Yadav, G Hari Prakash, MR Narayana Murthy · 2023 · SSRN Electronic Journal
86. A Survey on Food Image Classification and Calorie Prediction Using Machine Learning
    Dhanashree A Phalke, Vishakha A. Metre, Adishri Kadam, Aman Deep Singh, Khushi Magotra, Adishri Kadam · 2024 · International Journal for Research in Applied Science and Engineering Technology
87. Evaluating physical activities in clinical diabetes: lifestyle scores hypothesis
    Phillip Bwititi, Solomon Egwuenu, Echinei J. Oshionwu, John Okuzor, Alex Odufu, Charles Chukwuemeka Ofili, Ezekiel Uba Nwose · 2024 · Primary Health Care Research & Development
88. Diabetes Risk Assessment of Undergraduate Clinical Students of a Medical School in the Southeast Region of Nigeria. The Preliminary Results
    Marcellinus Okafor Nkpozi, Uwa Onwuchekwa, B.C. Ubani Ukoma, F.C. Okezie, Gloria Onyinyechi Madu, P.O. Ohanusi, J.E. Barrah · 2025 · European Journal of Medical and Health Research
89. Application of Finnish Diabetes Risk Score (FINDRISC) in Detecting Subjects at Risk for Type 2 Diabetes Mellitus: Results from Community Pharmacies in Sulaimani City, Iraq
    Khanda Taifwr Hamasalih, Bushra Hassan Marouf, Przha Majeed Mahmood · 2025 · Al-Rafidain Journal of Medical Sciences
90. Triglyceride Glucose Index: As A Glycemic Control Indicator
    Muzaffer Katar, Osman Demir · 2025 · Harran Üniversitesi Tıp Fakültesi Dergisi
91. Electrochemical aptasensors for monitoring diabetes biomarkers
    Faezeh Shahdost-fard, Nahid Rezvani Jalal · 2025 · Elsevier eBooks
92. Validity of Self-assessment cardiovascular disease risk assessment: Evidence from a population-based study
    Elham Goodarzi, Masoud Solaymani-Dodaran, Seyed Abbas Motevalian, Mohammad Javad Mansourzadeh, Amir Abbas Momenan, Davood Khalili · 2026 · Journal of Diabetes & Metabolic Disorders
93. Comparative performance of FINDRISC and IDRS in screening for type 2 diabetes risk among Yemeni university students
    Abdulsalam Al-Shami, Lina Qasem, Mufeed Baddah, Sami Kahtan · 2026 · Diabetology & Metabolic Syndrome
94. Silent Damage: Recognizing Early Signs of Diabetic Disabilities
    Shahnaz Alom, Farak Ali, Bibhuti Bhusan Kakoti · 2026 · Springer eBooks
95. Cell-type-specific Multi-omics Integration for Genetic Risk Assessment in Diabetes: A Computational Framework Combining Single-cell Profiling, Spatial Transcriptomics and Graph Neural Networks
    Rana Abdulmohsen Alotaibi, Shroog Amar AlSufiani, Rimas Abdulrahman Alqarni, Lujain Ibrahim Essa, Shatha Mohammed Trabi, Mohammed A. Almuhayfir, Amani J. Alfaifi, Lujain Khalid Aleissa, Faisal Meshal Alharbi, Ahmad A. Alhamzani et al. · 2026 · Journal of Advanced Trends in Medical Research
96. Population-based diagnostic prediction scores to identify undiagnosed type 2 diabetes mellitus in low- and middle-income countries in South and East Asia and the Pacific: A systematic Review and meta-analysis
    Fadila Wirawan, Areej Almutairi, Regina Prigge, Sarah H. Wild · 2026 · Diabetes & Metabolic Syndrome Clinical Research & Reviews
97. Predicting the epidemic: a study of diabetes risk profiling in a multi-ethnic inner city population
    Douglas James Noble · 2012 · OpenGrey (Institut de l'Information Scientifique et Technique)