AI Medical Compendium Journal:
Emerging topics in life sciences

Showing 1 to 10 of 10 articles

Artificial intelligence unifies knowledge and actions in drug repositioning.

Emerging topics in life sciences
Drug repositioning aims to reuse existing drugs, shelved drugs, or drug candidates that failed clinical trials for other medical indications. Its attraction is sprung from the reduction in risk associated with safety testing of new medications and th...

Radiomics, deep learning and early diagnosis in oncology.

Emerging topics in life sciences
Medical imaging, including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI), plays a critical role in early detection, diagnosis, and treatment response prediction of cancer. To ease radiologists' task and help with challenging c...

Molecular-based precision oncology clinical decision making augmented by artificial intelligence.

Emerging topics in life sciences
The rapid growth and decreasing cost of Next-generation sequencing (NGS) technologies have made it possible to conduct routine large panel genomic sequencing in many disease settings, especially in the oncology domain. Furthermore, it is now known th...

Graph representation learning for structural proteomics.

Emerging topics in life sciences
The field of structural proteomics, which is focused on studying the structure-function relationship of proteins and protein complexes, is experiencing rapid growth. Since the early 2000s, structural databases such as the Protein Data Bank are storin...

Recent developments and potential of robotics in plant eco-phenotyping.

Emerging topics in life sciences
Automated acquisition of plant eco-phenotypic information can serve as a decision-making basis for precision agricultural management and can also provide detailed insights into plant growth status, pest management, water and fertilizer management for...

High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales.

Emerging topics in life sciences
Agriculture has benefited greatly from the rise of big data and high-performance computing. The acquisition and analysis of data across biological scales have resulted in strategies modeling inter- actions between plant genotype and environment, mode...

Revolutionizing enzyme engineering through artificial intelligence and machine learning.

Emerging topics in life sciences
The combinatorial space of an enzyme sequence has astronomical possibilities and exploring it with contemporary experimental techniques is arduous and often ineffective. Multi-target objectives such as concomitantly achieving improved selectivity, so...

Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...

Artificial Intelligence and global health: opportunities and challenges.

Emerging topics in life sciences
Artificial Intelligence (AI) offers unprecedented opportunities and challenges for humanity. If AI can be positioned and leveraged correctly, it can rapidly accelerate progress on achieving the United Nations' Sustainable Development Goals (SDGs), in...

Advanced bioscience and AI: debugging the future of life.

Emerging topics in life sciences
Scientific advancements lead us towards a future in which Homo sapiens may no longer be the only sapient being. The societal and legal challenges of this potentiality are immense, and it will require traditionally disparate branches of science to rec...