AIMC Topic: Machine Learning

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AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches.

Scientific reports Jul 10, 2025
The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. Computational approaches can significantly quicken r...
Humans Colorectal Neoplasms Molecular Docking Simulation Artificial Intelligence Machine Learning Binding Sites Ribosomal Proteins Antineoplastic Agents Molecular Dynamics Simulation Indoles
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Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design.

Nature communications Jul 10, 2025
DNA is a promising medium for digital data storage due to its exceptional data density and longevity. Practical DNA-based storage systems require selective data retrieval to minimize decoding time and costs. In this work, we introduce CRISPR-Cas9 as ...
DNA CRISPR-Cas Systems Information Storage and Retrieval Semantics CRISPR-Associated Protein 9 Machine Learning Sequence Analysis, DNA
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PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

BMJ open Jul 10, 2025
INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising disorders (ID), encompassing depressive, anxiety or obsessive-compulsive disorders. Nonetheless, a substantial proportion of patients do not experien...
Observational Studies as Topic Multicenter Studies as Topic Cognitive Behavioral Therapy Ecological Momentary Assessment Humans Wearable Electronic Devices Smartphone Machine Learning Longitudinal Studies
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Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.

BMJ health & care informatics Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
Middle Aged United States Bias Ethnicity Aged Adult Male Respiratory Rate Heart Rate Vital Signs Racial Groups Humans Machine Learning Algorithms Intensive Care Units Female Retrospective Studies Critical Illness
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.

Neurosurgical review Jul 10, 2025
Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This study addresses the challenges of imbalanced data in SAH severity classification by employing the Mo...
Middle Aged Severity of Illness Index Subarachnoid Hemorrhage Aged Adult Male Humans Prognosis Female Machine Learning Algorithms
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Application of machine learning models for zooplankton abundance prediction in ponds of Southeastern Coastal Regions in Bangladesh.

Environmental monitoring and assessment Jul 10, 2025
Zooplankton abundance prediction in surface water bodies is crucial because they reflect ecosystem health and have role in aquatic food webs and nutrient cycling. This study examined the applicability of machine learning algorithms to estimate zoopla...
Machine Learning Water Quality Bangladesh Zooplankton Ponds Animals Ecosystem Environmental Monitoring
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Brain-Computer Interfaces Upper Extremity Male Gestures Humans Electroencephalography Machine Learning Electromyography Algorithms Female Young Adult Adult
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Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood.

PloS one Jul 10, 2025
PURPOSE: To develop an ensemble machine learning prediction model for clinical refraction in childhood using partial interferometry measurements.
Humans Machine Learning Retrospective Studies Child Interferometry Myopia Female Refractive Errors Male Adolescent Refraction, Ocular Child, Preschool
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Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Jul 9, 2025
PURPOSE: To establish a predictive model for the sonication energy required for focused ultrasound surgery (FUS) of breast fibroadenomas.
Retrospective Studies Breast Neoplasms Fibroadenoma Humans Middle Aged Female Machine Learning Sonication Adult Algorithms
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A novel machine-learning algorithm to screen for trisomy 21 in first-trimester singleton pregnancies.

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology Jul 9, 2025
BACKGROUND: Antenatal screening for Trisomy 21 (T21) in the UK is performed primarily in the first trimester. Nuchal Translucency (NT), gestational age, Free β-HCG and PAPP-A are used in combination, creating the 'combined' test. Multivariate Gaussia...
Pregnancy Trimester, First Down Syndrome Machine Learning False Positive Reactions Gestational Age Algorithms Pregnancy Humans Female Adult Pregnancy-Associated Plasma Protein-A Prenatal Diagnosis Nuchal Translucency Measurement Chorionic Gonadotropin, beta Subunit, Human
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