Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] High-content CRISPR screening
CRISPR screens are a powerful source of biological discovery, enabling the unbiased
interrogation of gene function in a wide range of applications and species. In pooled …
interrogation of gene function in a wide range of applications and species. In pooled …
Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review
The use of nanomaterials in medicine depends largely on nanotoxicological evaluation in
order to ensure safe application on living organisms. Artificial intelligence (AI) and machine …
order to ensure safe application on living organisms. Artificial intelligence (AI) and machine …
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a sco** review
Background The field of precision medicine endeavors to transform the healthcare industry
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
by advancing individualised strategies for diagnosis, treatment modalities, and predictive …
AiZynth impact on medicinal chemistry practice at AstraZeneca
JD Shields, R Howells, G Lamont, Y Leilei… - RSC Medicinal …, 2024 - pubs.rsc.org
AstraZeneca chemists have been using the AI retrosynthesis tool AiZynth for three years. In
this article, we present seven examples of how medicinal chemists using AiZynth positively …
this article, we present seven examples of how medicinal chemists using AiZynth positively …
Success stories of AI in drug discovery-where do things stand?
Introduction Artificial intelligence (AI) in drug discovery and development (DDD) has gained
more traction in the past few years. Many scientific reviews have already been made …
more traction in the past few years. Many scientific reviews have already been made …
Artificial intelligence and machine learning for lead-to-candidate decision-making and beyond
D McNair - Annual review of pharmacology and toxicology, 2023 - annualreviews.org
The use of artificial intelligence (AI) and machine learning (ML) in pharmaceutical research
and development has to date focused on research: target identification; docking-, fragment …
and development has to date focused on research: target identification; docking-, fragment …
A roadmap to creating ferroptosis-based medicines
Ferroptosis is a regulated form of non-apoptotic cell death implicated in pathological
settings. To be exploited clinically, ferroptosis requires reagents that unequivocally detect …
settings. To be exploited clinically, ferroptosis requires reagents that unequivocally detect …
High throughput microscopy and single cell phenotypic image-based analysis in toxicology and drug discovery
Measuring single cell responses to the universe of chemicals (drugs, natural products,
environmental toxicants etc.) is of paramount importance to human health as phenotypic …
environmental toxicants etc.) is of paramount importance to human health as phenotypic …
Patient‐derived microphysiological systems for precision medicine
Patient‐derived microphysiological systems (P‐MPS) have emerged as powerful tools in
precision medicine that provide valuable insight into individual patient characteristics. This …
precision medicine that provide valuable insight into individual patient characteristics. This …
Predicting cell morphological responses to perturbations using generative modeling
Advancements in high-throughput screenings enable the exploration of rich phenotypic
readouts through high-content microscopy, expediting the development of phenotype-based …
readouts through high-content microscopy, expediting the development of phenotype-based …