Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Microbial Biotechnology, Journal Year: 2023, Volume and Issue: 16(6), P. 1131 - 1173
Published: Feb. 14, 2023
Practical experiments drive important scientific discoveries in biology, but theory-based research studies also contribute novel-sometimes paradigm-changing-findings. Here, we appraise the roles of approaches focusing on experiment-dominated wet-biology areas microbial growth and survival, cell physiology, host-pathogen interactions, competitive or symbiotic interactions. Additional examples relate to analyses genome-sequence data, climate change planetary health, habitability, astrobiology. We assess importance thought at each step process; natural philosophy, inconsistencies logic language, as drivers progress; value experiments; use limitations artificial intelligence technologies, including their potential for interdisciplinary transdisciplinary research; other instances when theory is most-direct most-scientifically robust route novelty development techniques practical experimentation fieldwork. highlight intrinsic need human engagement innovation, an issue pertinent ongoing controversy over papers authored using/authored by (such large language model/chatbot ChatGPT). Other issues discussed are way which aspects can bias thinking towards spatial rather than temporal (and how this biased lead skewed terminology); receptivity that non-mainstream; science education epistemology. Whereas briefly classic works (those Oakes Ames, Francis H.C. Crick James D. Watson, Charles R. Darwin, Albert Einstein, E. Lovelock, Lynn Margulis, Gilbert Ryle, Erwin R.J.A. Schrödinger, Alan M. Turing, others), focus microbiology more-recent, discussing these context process types they represent. These include several carried out during 2020 2022 lockdowns COVID-19 pandemic access laboratories was disallowed (or limited). interviewed authors some featured microbiology-related and-although ourselves involved laboratory fieldwork-also drew from our own experiences showing such not only produce new findings transcend barriers between disciplines, act counter reductionism, integrate biological data across different timescales levels complexity, circumvent constraints imposed techniques. In relation urgent needs, believe global challenges may require beyond experiment.
Language: Английский
Citations
60
World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 2740 - 2752
Published: Jan. 30, 2024
As healthcare systems strive to meet the evolving demands of an ever-changing landscape, biotechnology emerges as a pivotal force driving transformative advancements. This comprehensive review explores multifaceted role in healthcare, examining global trends that underscore its profound impact on diagnostics, treatment modalities, and overall landscape delivery. The study begins by elucidating fundamental principles diverse applications healthcare. From genomics personalized medicine, biotechnological innovations are reshaping understanding diseases, enabling tailored interventions based individual genetic profiles. delves into burgeoning field precision where tools empower clinicians deliver targeted therapies, optimize outcomes, minimize adverse effects. integration platforms including advanced imaging techniques liquid biopsies, is transforming early detection monitoring ushering era proactive Moreover, characterized collaborative research initiatives cross-disciplinary partnerships. interconnectedness with artificial intelligence data analytics explored, highlighting synergistic potential unlocking intricate patterns within vast datasets inform more precise effective strategies. accelerates development novel therapeutics, gene cell addresses ethical considerations, regulatory frameworks, accessibility challenges. It critically analyzes disparities adoption advancements across systems, emphasizing need for equitable access ensure benefits reach populations worldwide. In conclusion, elucidates extends beyond scientific breakthroughs encompass paradigm shift. By continents, it underscores power fostering new precision, innovation, unwavering commitment improving patient outcomes scale.
Language: Английский
Citations
9
Clinical Nutrition Open Science, Journal Year: 2025, Volume and Issue: 59, P. 134 - 142
Published: Jan. 5, 2025
Language: Английский
Citations
1
Nature Reviews Gastroenterology & Hepatology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 17, 2025
Language: Английский
Citations
1
Seminars in Oncology Nursing, Journal Year: 2023, Volume and Issue: 39(3), P. 151433 - 151433
Published: May 1, 2023
Language: Английский
Citations
22
Bioinformatics, Journal Year: 2024, Volume and Issue: 40(2)
Published: Feb. 1, 2024
Abstract Motivation The ongoing expansion in the volume of biomedical data has contributed to a growing complexity tools and technologies used research with an increased reliance on complex workflows written orchestration languages such as Nextflow integrate algorithms into processing pipelines. use involving various led scrutiny software development practices avoid errors individual connections between them. Results To facilitate test-driven pipelines, we created NFTest, framework for automated pipeline testing validation customizability options features. It is open-source, easy initialize use, customizable allow test success configurable through broad range assertions. NFTest simplifies burden developers by automating tests once defined providing flexible interface running validate workflows. This reduces barrier rigorous workflow paves way toward reducing computational biomedicine. Availability implementation open-source Python under GPLv2 license freely available at https://github.com/uclahs-cds/tool-NFTest. call-sSNV at: https://github.com/uclahs-cds/pipeline-call-sSNV.
Language: Английский
Citations
8
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 115750 - 115774
Published: Jan. 1, 2024
Language: Английский
Citations
7
Published: Feb. 26, 2024
This study examines the integration of genomics and artificial intelligence (AI) in healthcare industry, focusing on ethical trust-related issues that arise from this integration. highlights significance protecting genomic data by employing homomorphic encryption. emphasizes algorithmic transparency. It suggests interpretative frameworks like Local Interpretable Model-agnostic Explanations (LIME) SHapley Additive exPlanations (SHAP) to enhance comprehensibility AI algorithms. The article discusses two key regulatory measures: Trustworthy Artificial Intelligence Initiative Genomic Data Sharing (GDS) Policy. effectiveness current practices adapting rapid technological advancements while maintaining standards. attaining a balance between benefits predictive analytics considerations, such as informed consent integrity, we transition big mechanisms. importance lies its ability revolutionize sector. robust governance ensure adhere standards earn public trust. In summary, it is imperative acknowledge address considerations associated with integrating effective responsible implementation. area major focus contemporary medical research practice.
Language: Английский
Citations
6
Pharmaceuticals, Journal Year: 2024, Volume and Issue: 17(3), P. 395 - 395
Published: March 19, 2024
Adverse drug reactions continue to be not only one of the most urgent problems in clinical medicine, but also a social problem. The aim this study was bibliometric analysis use digital technologies prevent adverse and an overview their main applications improve safety pharmacotherapy. search conducted using Web Science database for period 1991–2023. A positive trend publications field management revealed. total 72% all relevant come from following countries: USA, China, England, India, Germany. Among organizations active side effect technologies, American Chinese universities dominate. Visualization publication keywords VOSviewer software 1.6.18 revealed four clusters: “preclinical studies”, “clinical trials”, “pharmacovigilance”, “reduction order patient’s quality life”. Molecular design virtual models toxicity modeling, data integration, repurposing are among key tools used preclinical research phase. Integrating application machine learning algorithms analysis, monitoring electronic databases spontaneous messages, medical records, scientific databases, networks, device into trials pharmacovigilance systems, can significantly efficiency development, implementation, processes. result combining these is huge synergistic provision up-to-date valuable information healthcare professionals, patients, health authorities.
Language: Английский
Citations
5
MEDICINUS, Journal Year: 2025, Volume and Issue: 38(2), P. 28 - 35
Published: Feb. 1, 2025
Integrasi kecerdasan buatan (artificial intelligence/AI) dan pembelajaran mesin (machine learning/ML) telah merevolusi industri farmasi, mengubah cara obat ditemukan, dikembangkan, diuji, diproduksi. Teknologi ini memungkinkan efisiensi akurasi yang belum pernah terjadi sebelumnya dengan memanfaatkan sejumlah besar data algoritmakomputasi canggih. Dalam penemuan obat, AI mempercepat identifikasi target terapeutik desain molekul baru, secara drastis mengurangi waktu menuju pemasaran. Selama pengembangan, ML membantu mengoptimalkan uji klinik stratifikasi populasi pasien untuk meningkatkan presisi efektivitas. klinik, alat berbasis rekrutmen, pemantauan, adaptif, menghasilkan studi lebih andal hemat biaya. Terakhir, memastikan pengendalian kualitas real-time pemeliharaan prediktif dalam manufaktur, konsistensi produk biaya operasional. Makalah mengeksplorasi aplikasi AI/ML komprehensif di berbagai domain, didukung oleh kasus analisis mendalam tentang dampaknya. Selain itu, makalah membahas tantangan seperti data, hambatan regulasi, transparansi algoritma menghambat adopsinya luas. Pertimbangan etis, termasuk masalah privasi risiko bias sistem juga dievaluasi. Akhirnya, menguraikan peluang kemajuan masa depan, menekankan perlunya upaya kolaboratif antara akademisi, industri, badan regulasi potensi penuh membentuk kembali lanskap farmasi.
Citations
0