Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Combinatorial Functional Precision Medicine Platform for Rapid Therapeutic Response Prediction in AML.

Cancer medicine - 1 Nov 2024

Sahib Noor Rashidha Binte Meera, Mohamed Jameelah Sheik, Rashid Masturah Bte Mohd Abdul, Jayalakshmi, Lin Yihao Clement, Chee Yen Lin, Fan Bingwen Eugene, De Mel Sanjay, Ooi Melissa Gaik Ming, Jen Wei-Ying, Chow Edward Kai-Hua

Abstract excerpt

BACKGROUND: Despite advances made in targeted biomarker-based therapy for acute myeloid leukemia (AML) treatment, remission is often short and followed by relapse and acquired resistance. Functional precision medicine (FPM) efforts have been shown to improve therapy selection guidance by incorporating comprehensive biological data to tailor individual treatment. However, effectively managing complex biological...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over
Share to Antineoplastic Combined Chemotherapy Protocols

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers, Tumor

Share to Drug Resistance, Neoplasm

Share to fms-Like Tyrosine Kinase 3

Share to Leukemia, Myeloid, Acute

Share to Precision Medicine

Share to Treatment Outcome

Source

Open in PubMed Open full text

Identifiers

PMID: 39560206
DOI: 10.1002/cam4.70401
PMCID: PMC11574777

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Combinatorial Functional Precision Medicine Platform for Rapid Therapeutic Response Prediction in AML.PMID 39560206Read ↗

Clinical Forecasting using <i>Ex Vivo</i> Drug Sensitivity Profiling of Acute Myeloid LeukemiaSemantic proximity Read ↗

Molecular Oncodiagnostics in Precision Oncology: Integrating Tumor Transcriptomics, Patient Pharmacogenetics, and Ex Vivo Chemoresistance Testing to Improve Individual Chemotherapy ResponseSemantic proximity Read ↗

Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach.Semantic proximity Read ↗

A Transformative Technology Linking Patient’s mRNA Expression Profile to Anticancer Drug EfficacySemantic proximity Read ↗

Mapping the proteogenomic landscape enables prediction of drug response in acute myeloid leukemia.Semantic proximity Read ↗

Drug response profiling guides precision therapy in relapsed and refractory childhood acute lymphoblastic leukemiaSemantic proximity Read ↗

Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP).Semantic proximity Read ↗

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer studySemantic proximity Read ↗

Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia PatientsSemantic proximity Read ↗

Calibrated Uncertainty Quantification for Patient-Level AML Drug Sensitivity Prediction Using Split Conformal PredictionSemantic proximity Read ↗

Integrating ex vivo drug sensitivity and genetic mutation analysis improves prediction of chemotherapy response in acute myeloid leukemia.Semantic proximity Read ↗

SCOPE: Integrating Organoid Screening and Clinical Variables Through Machine Learning for Cancer Trial Outcome PredictionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.