| Kode Mata Kuliah | FA5041 / 4 SKS |
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| Penyelenggara | 207 - Farmasi / SF |
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| Kategori | Kuliah |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Tren Farmakologi Terkini | Current Trends in Pharmacology |
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| Bahan Kajian | - Terapi biologis dan biosimilar
- Terapi gen
- Regenerative medicine and stem cell therapy
- Epigenetik dalam pengembangan obat
- Resistensi antibiotik dan antibiotik-antibiotik baru
- Terapi terkini dalam penyakit-penyakit degeneratif
- Akuisisi Data, Integrasi Data dan Pendekatan Biologi Sistem
- Model Komputasional dalam Farmakologi
- Machine Learning dalam Pengembangan Obat
- In Silico Screening in Drug Repurposing
- Analisis Jaringan dalam Farmakologi
- Stratifikasi Pasien dan Pengobatan Presisi
- Optimasi Iteratif dalam Pengembangan Obat
- Arah Masa Depan – AI dan Big Data dalam Farmakologi Komputasi
| - Biologics and Biosimilar Therapy
- Gene therapy
- Regenerative medicine and stem cell therapy
- Epigenetics in drug developments
- Antibiotic resistance and novel antibiotics
- Advanced therapy in degenerative diseases
- Data Acquisition, Data Integration and Systems Biology Approaches
- Computational Models in Pharmacology
- Machine Learning in Drug Development
- In Silico Screening in Drug Repurposing
- Network Analysis in Pharmacology
- Patient Stratification and Precision Medicine
- Iterative Optimisation in Drug Development
- Future Directions – AI and Big Data in Computational Pharmacology
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Menerapkan konsep-konsep terkini dalam farmakologi
- Mahasiswa mampu mengintegrasikan berbagai jenis data biologis (omik, fenotipik, struktural) dan menerapkan pendekatan biologi sistem untuk mengembangkan model komputasi proses farmakologi.
- Mahasiswa mampu memanfaatkan alat komputasional, termasuk machine learning, penapisan in silico, dan analisis jaringan, untuk mengidentifikasi target obat dan memprediksi efektivitas dan keamanan obat.
- Mahasiswa mampu mengembangkan model komputasional sederhana untuk mensimulasikan proses biologis, memprediksi interaksi dan target obat, dan melakukan stratifikasi populasi pasien untuk pendekatan pengobatan presisi.
- Mengusulkan konsep-konsep terkini dalam farmakologi dalam menyusun riset penelitian
| - Students are able to apply advanced concenpts in pharmacology
- Students are able to integrate various types of biological data (omics, phenotypic, structural) and apply systems biology approaches to develop computational models of pharmacological processes
- Students are able to utilize computational tools, including machine learning, in silico screening, and network analysis, to identify drug targets and predict drug efficacy and safety.
- Students are able to develop simple computational models to simulate biological processes, predict drug interactions and targets, and stratify patient populations for precision medicine approaches.
- Students are able to propose advanced concepts in pharmacology to design research
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| Metode Pembelajaran | Kuliah, Project-based study berkelompok, Presentasi | lecture, project based group study, presentation |
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| Modalitas Pembelajaran | Visual, auditorial, kinestetik, pelaksanaan secara sinkronous dan asinkronous | visual, auditorial, kinesthetic, synchronous, asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | UTS, UAS, Kuis, Tugas (Project) | mid-exam, final exam, quiz, assignment (project) |
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| Catatan Tambahan | | |
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