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Development and evaluation of an effective solubility prediction model for pharmaceuticals in organic solvents using machine learning based on eXtreme Gradient Boosting

• Authors : Valavi, Masood, Author; Assareh, Mehdi, Author; Khoshsima, Ali, Author ...

Subjects: Machine learning; Pharmaceuticals; Solubility prediction

• Source: Scientific Reports. 16(1)

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Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls

• Authors : Idrisoglu, Alper, 1982-, Author; Behrens, Anders, Author;

Subjects: Parkinson's disease; Chronic obstructive pulmonary disease; Voice analysis

• Source: Scientific Reports. 16(1)

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An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical care.

• Authors : Brima Y; Computer Vision Group, Institute of Cognitive Science, Osnabrück University, D-49090, Osnabrueck, Germany. .; Atemkeng M

Subjects: Critical Care*/Critical Care*/Critical Care*/methods ; Machine Learning*; Humans

• Source: Scientific reports [Sci Rep] 2026 Jun 10; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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An explainable machine learning approach to predict fragility fractures and the identification of important features.

• Authors : Borhan S; Department of Health Research Methods, Evidence, and Impact, McMaster University, Martha Wing, H321, 50 Charlton Avenue East, Hamilton, ON, L8N 1Y3, Canada. .; Research Methodology Centre, Research Institute of St Joseph's Healthcare Hamilton, Hamilton, ON, Canada. .

Subjects: Osteoporotic Fractures*/Osteoporotic Fractures*/Osteoporotic Fractures*/epidemiology ; Osteoporotic Fractures*/Osteoporotic Fractures*/Osteoporotic Fractures*/diagnosis ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2026 Jun 02; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Intelligent system for portfolio optimization for novel volatility forecasting using machine learning.

• Authors : Biswas, Tamal¹ (AUTHOR); Dey, Animesh¹ (AUTHOR); Mandal, Gouranga² (AUTHOR)

• Source: Scientific Reports. 5/8/2026, Vol. 16 Issue 1, p1-16. 16p.

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Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning.

• Authors : Koh J; Department of Orthodontics, Institute of Oral Health Science, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-Gu, Suwon, 16499, Republic of Korea.; Kim YH

Subjects: Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/Malocclusion, Angle Class III*/therapy ; Machine Learning*; Humans

• Source: Scientific reports [Sci Rep] 2026 Feb 16; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 16.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

• Authors : Guo X; Department of Oncology, The Third People's Hospital of Kunming, Kunming, 650041, China.; Xu T

Subjects: Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/pathology ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/surgery ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2026 Jan 28; Vol. 16 (1), pp. 6468. Date of Electronic Publication: 2026 Jan 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Selective classification with machine learning uncertainty estimates improves ACS prediction: a retrospective study in the prehospital setting.

• Authors : Garcia JJ; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, 27514, USA. .; Kitzmiller R

Subjects: Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/diagnosis ; Acute Coronary Syndrome*/Acute Coronary Syndrome*/Acute Coronary Syndrome*/classification ; Emergency Medical Services*/Emergency Medical Services*/Emergency Medical Services*/methods

• Source: Scientific reports [Sci Rep] 2026 Jan 08; Vol. 16 (1), pp. 913. Date of Electronic Publication: 2026 Jan 08.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A robust machine learning framework for predicting contact angle in nano-assisted chemical EOR.

• Authors : Kandiel, Youssef E.¹ (AUTHOR) ; Mahmoud, Omar² (AUTHOR) ; Ibrahim, Ahmed Farid^3,4 (AUTHOR)

• Source: Scientific Reports. 5/8/2026, Vol. 16 Issue 1, p1-28. 28p.

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DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation.

• Authors : Abdelhakim, Esraa^1,2 (AUTHOR) ; Ragab, Dina A.² (AUTHOR); Abaza, Mohamed² (AUTHOR)

• Source: Scientific Reports. 5/8/2026, Vol. 16 Issue 1, p1-18. 18p.

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