Artificial intelligence for neurodegenerative experimental models

INTRODUCTION: Experimental models are essential tools in neurodegenerative disease research. However, the translation of insights and drugs discovered in model systems has proven immensely challenging, marred by high failure rates in human clinical trials. METHODS: Here we review the application of artificial intelligence (AI) and machine learning (ML) in experimental medicine for dementia research. RESULTS: Considering the specific challenges of reproducibility and translation between other species or model systems and human biology in preclinical dementia research, we highlight best practices and resources that can be leveraged to quantify and evaluate translatability. We then evaluate how AI and ML approaches could be applied to enhance both cross-model reproducibility and translation to human biology, while sustaining biological interpretability. DISCUSSION: AI and ML approaches in experimental medicine remain in their infancy. However, they have great potential to strengthen preclinical research and translation if based upon adequate, robust, and reproducible experimental data. HIGHLIGHTS: There are increasing applications of AI in experimental medicine. We identified issues in reproducibility, cross-species translation, and data curation in the field. Our review highlights data resources and AI approaches as solutions. Multi-omics analysis with AI offers exciting future possibilities in drug discovery

İntratümöral Uygulamaya Yönelik Nanolipozom Formülasyonlarının Geliştirilmesi

Purpose of our thesis; it has been aimed to prepare injectable formulations of the chemotherapeutic agent, which is effective in cancer cells, into nanoliposomes and to develop an intratumorally effective treatment approach. This will ensure that both chemotherapeutic drugs are effective at lower doses, as well as the associated side effects and resistance to growth. The targets of our policy are; 1. The increase of treatment efficiency by penetration with chemotherapeutic agent loaded nanoliposome formulations 2. Intratumoral injection of nanoliposomes to ensure that the drug only acts in the desired region 3. Reduction of drug side effects 4. Providing a faster and more effective response in advanced and drug-resistant tumors 5 Prolongation of patient survival by avoiding the spread of cancer In the event that our studies are successful, an innovative formulation will be developed as an alternative to the conventional preparations currently being used in therapy. Thus, a lower dose, shorter time and more effective treatment option for patients will be offered.TÜBİTAKTezimizin amacı; kanser hücrelerinde sitotoksik etkili kemoterapötik ajanın nanolipozomlar içine yüklenerek enjekte edilebilir formülasyonlarının hazırlanması ve intratümöral olarak etkin bir tedavi yaklaşımı geliştirilmesi hedeflenmiştir. Böylece hem kemoterapötik ilaçların daha düşük dozlarda etkili olması sağlanacak hem de ilaca bağlı yan etkiler ve ilaca karşı gelişen direnç önlenebilecektir. Tezimizin hedefleri ise; 1. Kemoterapötik ajan yüklü nanolipozom formülasyonları ile penetrasyonun sağlanarak tedavi etkinliğinin arttırılması 2. Nanolipozomların intratümöral enjeksiyonu ile, ilacın sadece istenen bölgede etki göstermesinin sağlanması 3. İlaca bağlı yan etkilerin azaltılması 4. İleri düzey ve ilaç dirençli tümörlerde daha hızlı ve etkin bir yanıt sağlanması 5. Böylece kanserin yayılmasının önlenerek hastaların hayatta kalış sürelerinin uzatılması Çalışmalarımızın başarıyla sonuçlanması halinde, şu an tedavide kullanılmakta olan konvansiyonel preparatlara alternatif olarak yenilikçi bir formülasyon geliştirilmiş olacaktır. Böylece hastalar için daha düşük dozda, daha kısa sürede ve daha etkili bir tedavi seçeneği sunulacaktır