Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 21 min ago
Peer-reviewedCC BYFrontiers in medicine

Mechanism-informed machine learning for interpretable drug release prediction and virtual formulation intervention in polymeric long-acting injectables

  • Mohammed Ghazwani1
  • Yahia Alghazwani2
  • Umme Hani1
  1. 1Department of Pharmaceutics, College of Pharmacy, King Khalid University , ,
  2. 2Department of Pharmacology, College of Pharmacy, King Khalid University , ,
Read full textPDFCite

Related

  1. KT-CBHNET: a spatio-temporal deep learning framework for interpretable ECG signal classification for cardiovascular disease prediction
    Krantee Singh, Vasudev Dehalwar
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCardiovascular medicineCrossref
  2. Development and validation of an interpretable machine learning model for early prediction of mortality in ICU patients with chronic obstructive pulmonary disease and heart failure
    Jiayi Shen, Yucheng Liu, Yikun Chen
    MedicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Machine learning-based prediction of lymph node metastasis in papillary thyroid carcinoma: an interpretable multidimensional model
    Xiaoqing Yuan, Yahui Wu, Yixiang Xing +4
    Frontiers in endocrinologyPeer-reviewedCC BYFull textEndocrinology & metabolismEurope PMC
  4. Development and validation of an interpretable prediction model for high-grade vesicoureteral reflux in children with urinary tract infections
    Le-zhen Ye, Jian-xin Sun, Jing Chen +3
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Improvised cardiac function of siddha formulation Sikkanjar elixir® through CAMK2 and VEGF mechanism-in experimentally induced cardiac hypertrophy model in rats.
    S Joseph Maria Adaikalam, J Tejasri, R Arunagiri +2
    Journal of Ayurveda and integrative medicinePeer-reviewedCC BYFull textCardiovascular medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{ghazwani2026mechanisminformed,
  title = {{Mechanism-informed machine learning for interpretable drug release prediction and virtual formulation intervention in polymeric long-acting injectables}},
  author = {Mohammed Ghazwani and Yahia Alghazwani and Umme Hani},
  journal = {Frontiers in medicine},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13654726},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Mechanism-informed machine learning for interpretable drug release prediction and virtual formulation intervention in polymeric long-acting injectables
AU  - Mohammed Ghazwani
AU  - Yahia Alghazwani
AU  - Umme Hani
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in medicine
UR  - https://europepmc.org/article/PMC/PMC13654726
SN  - 2296-858X
ER  -