AIMC Topic: Humans

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Discovery and affinity maturation of antibody fragments from an unfavorably enriched phage display selection by deep sequencing and machine learning.

Journal of bioscience and bioengineering
Phage display selection has been used for directed evolution of antibody fragments. However, variants with binding affinity cannot be always identified due to undesirable enrichment of target-unrelated variants in the biopanning process. Here, our go...

Natural and anthropogenic influences on short-term forest growth status: Evidence and mechanisms from China.

Journal of environmental management
The relationship between forest growth and natural-anthropogenic drivers remains controversial, and the relative importance of these factors on short-term forest growth at large scales still unclear. This uncertainty hinders the development of effect...

Angular correlation-based feature selection for machine learning classification of manual automatisms using body sensor network data.

Computers in biology and medicine
Automatisms are repetitive, semi-ordered movements often observed in focal impaired awareness seizures and, less frequently, in generalized seizures with brief loss of consciousness. This study aims to improve the detection of these automatisms by op...

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction.

Computers in biology and medicine
BACKGROUND: Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. However, ultrasound images have limitations, including a low signal-to-noise ratio, acoustic shadowing, and speckle noise, which make interpret...

Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors.

Computers in biology and medicine
Sphingosine kinase 1 (SphK1) plays a pivotal role in cancer progression, metastasis, and chemotherapy resistance, making it a key target for therapeutic interventions in cancer, cardiovascular diseases, and inflammation. Machine learning models, incl...

Machine learning-optimized bioprocess for macroidin production by Lysinibacillus macroides and its biomedical applications.

Bioprocess and biosystems engineering
The quest for solutions to infectious diseases and life-debilitating disease states has been ongoing for centuries now. Natural products researches have revealed bioactive compounds of plant and microbial origin that offer solutions to health conditi...

Predicting mortality risk following major lower extremity amputation using machine learning.

Journal of vascular surgery
OBJECTIVE: Major lower extremity amputation for advanced vascular disease involves significant perioperative risks. Although outcome prediction tools could aid in clinical decision-making, they remain limited. To address this, we developed machine le...

The urban physical environment and leisure-time physical activity in early midlife: a FinnTwin12 study.

Health & place
Under the exposome framework, this study examined the relationship between the urban physical environment and leisure-time physical activity during early midlife based on 394 participants (mean age: 37, range 34-40) from the FinnTwin12 cohort, residi...