AIMC Topic: Treatment Outcome

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Using Machine Learning Models to Predict Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.

JCO clinical cancer informatics Nov 22, 2024
PURPOSE: Neoadjuvant chemotherapy (NAC) is increasingly used in breast cancer. Predictive modeling is useful in predicting pathologic complete response (pCR) to NAC. We test machine learning (ML) models to predict pCR in breast cancer and explore met...
Breast Neoplasms Humans Middle Aged Antineoplastic Combined Chemotherapy Protocols Machine Learning Treatment Outcome Neoadjuvant Therapy Prognosis Female Aged Adult Singapore Chemotherapy, Adjuvant Pathologic Complete Response
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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Leukemia research Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Survival Rate Leukemia, Myeloid, Acute Male Middle Aged Adolescent Child, Preschool Child Treatment Outcome Follow-Up Studies Graft vs Host Disease Hematopoietic Stem Cell Transplantation Retrospective Studies Transplantation, Homologous Humans Female Precursor Cell Lymphoblastic Leukemia-Lymphoma Machine Learning Aged Leukemia Prognosis Young Adult Adult
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Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer.

International immunopharmacology Nov 17, 2024
BACKGROUND: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. Nonetheless, the potential roles of the intra-tumoral immune cell abundances and peripheral blood immunological features in prognosis prediction of pati...
Angiogenesis Inhibitors Biomarkers, Tumor Treatment Outcome Male Humans Prognosis Middle Aged Machine Learning Female Cohort Studies Aged Lung Neoplasms Tumor Microenvironment
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Anti-VEGF treatment outcome prediction based on optical coherence tomography images in neovascular age-related macular degeneration using a deep neural network.

Scientific reports Nov 16, 2024
Age-related macular degeneration (AMD) is a major cause of blindness in developed countries, and the number of affected patients is increasing worldwide. Intravitreal injections of anti-vascular endothelial growth factor (VEGF) are the standard thera...
Treatment Outcome Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Intravitreal Injections Humans Neural Networks, Computer Female Aged Aged, 80 and over Male Middle Aged Angiogenesis Inhibitors
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Random Forest Prognostication of Survival and 6-Month Outcome in Pediatric Patients Following Decompressive Craniectomy for Traumatic Brain Injury.

World neurosurgery Nov 15, 2024
BACKGROUND: There is a dearth of literature regarding prognostic and predictive factors for outcome following pediatric decompressive craniectomy (DC) performed after traumatic brain injury (TBI). The aim of this study was to develop a random forest ...
Machine Learning Prognosis Retrospective Studies Female Male Humans Treatment Outcome Brain Injuries, Traumatic Random Forest Glasgow Outcome Scale Decompressive Craniectomy Infant Adolescent Child, Preschool Child Hospital Mortality
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Predictors for improvement in personality functioning during outpatient psychotherapy: A machine learning approach within a psychodynamic psychotherapy sample.

European psychiatry : the journal of the Association of European Psychiatrists Nov 15, 2024
BACKGROUND: Since its introduction in the diagnostic manuals DSM-5 and ICD-11, the construct of personality functioning has gained increasing attention. However, it remains unclear which factors might predict improvement in personality functioning.
Humans Machine Learning Female Adult Male Psychotherapy, Psychodynamic Middle Aged Personality Treatment Outcome Outpatients Personality Disorders
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Use of machine learning to identify prognostic variables for outcomes in chronic low back pain treatment: a retrospective analysis.

The Journal of manual & manipulative therapy Nov 14, 2024
OBJECTIVES: Most patients seen in physical therapy (PT) clinics for low back pain (LBP) are treated for chronic low back pain (CLBP), yet PT interventions suggest minimal effectiveness. The Cochrane Back Review Group proposed 'Holy Grail' questions, ...
Treatment Outcome Humans Low Back Pain Machine Learning Female Physical Therapy Modalities Prognosis Risk Factors Chronic Pain Retrospective Studies Adult Male Middle Aged
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Early and noninvasive prediction of response to neoadjuvant therapy for breast cancer via longitudinal ultrasound and MR deep learning: A multicentre study.

Academic radiology Nov 13, 2024
RATIONALE AND OBJECTIVES: The early prediction of response to neoadjuvant chemotherapy (NAC) will aid in the development of personalized treatments for patients with breast cancer. This study investigated the value of longitudinal multimodal deep lea...
Humans Retrospective Studies Female Aged Breast Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging Adult Predictive Value of Tests Breast Neoplasms Ultrasonography, Mammary Middle Aged Deep Learning
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Integration of Machine Learning and Experimental Validation to Identify Anoikis-Related Prognostic Signature for Predicting the Breast Cancer Tumor Microenvironment and Treatment Response.

Genes Nov 12, 2024
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The underlying role of ANRGs in the prognosis of breast cancer patients warrants further study. The anoikis-related prognostic signature (ANRS) was gene...
Anoikis Antineoplastic Agents Drug Screening Assays, Antitumor Machine Learning Gene Expression Profiling Gene Expression Immunotherapy Aged Prognosis Transcriptome Blotting, Western Enzyme-Linked Immunosorbent Assay Breast Neoplasms Female Real-Time Polymerase Chain Reaction Imatinib Mesylate Treatment Outcome Tumor Microenvironment Reproducibility of Results Reverse Transcriptase Polymerase Chain Reaction Proportional Hazards Models Databases, Genetic Biomarkers, Tumor Predictive Value of Tests Middle Aged
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The established of a machine learning model for predicting the efficacy of adjuvant interferon alpha1b in patients with advanced melanoma.

Frontiers in immunology Nov 12, 2024
BACKGROUND: Interferon-alpha1b (IFN-α1b) has shown remarkable therapeutic potential as adjuvant therapy for melanoma. This study aimed to develop five machine learning models to evaluate the efficacy of postoperative IFN-α1b in patients with advanced...
ROC Curve Treatment Outcome Neoplasm Staging Adjuvants, Immunologic Melanoma Interferon-alpha Aged Chemotherapy, Adjuvant Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female
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