AIMC Topic: Humans

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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis.

Scientific reports
The analysis of cognitive patterns through brain signals offers critical insights into human cognition, including perception, attention, memory, and decision-making. However, accurately classifying these signals remains a challenge due to their inher...

Predictive modelling of knee osteoporosis.

BMC research notes
OBJECTIVE: The objective of this research was to develop a machine learning-based predictive model for osteoporosis screening using demographic and clinical data, including T-scores derived from calcaneus Quantitative Ultrasound (QUS). The study aime...

Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models.

Nature communications
Orthognathic surgery, or corrective jaw surgery, is performed to correct severe dentofacial deformities and is increasingly sought for cosmetic purposes. Accurate prediction of surgical outcomes is essential for selecting the optimal treatment plan a...

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Nature communications
Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting a convenient and effective strategy for cancer therapy. However, therapies based on conventional photosensitizers often suffer from limitations such a...

Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model.

Journal of Parkinson's disease
BackgroundFreezing of gait (FoG) is a complex, frequent, and disabling motor symptom of Parkinson's disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, and continuous monitoring.Objectiv...

Re-imagining human cell culture media: Challenges, innovations, and future directions.

Biotechnology advances
The development of optimized culture media is pivotal to advancements in human cell culture, underpinning progress in regenerative medicine, cell therapies, and personalized medicine. While foundational formulations like Eagle's Minimum Essential Med...

Leveraging artificial intelligence for inclusive maternity care: Enhancing access for mothers with disabilities in Africa.

Women's health (London, England)
Women with disabilities face significant barriers in accessing maternal healthcare, which increases their risk of adverse pregnancy outcomes, particularly in Africa, where resources are limited. Artificial intelligence (AI) presents a unique opportun...

How the past is shaping the future of life science: The influence of automation and AI on biology.

New biotechnology
Automation has been a transformative force for many industries, including manufacturing and chemistry. While the term traditionally referred to mechanical operations to produce physical objects, the definition has since expanded: 1) it can now mean b...

Integrating biomarker clustering for improved diagnosis of interstitial cystitis/bladder pain syndrome: a review.

International urology and nephrology
Interstitial cystitis/bladder pain syndrome (IC/BPS) is a debilitating chronic condition characterized by pelvic pain and urinary disturbances, making its diagnosis challenging due to overlapping symptoms with various lower urinary tract disorders. C...

Automated liver magnetic resonance elastography quality control and liver stiffness measurement using deep learning.

Abdominal radiology (New York)
PURPOSE: Magnetic resonance elastography (MRE) measures liver stiffness for fibrosis staging, but its utility can be hindered by quality control (QC) challenges and measurement variability. The objective of the study was to fully automate liver MRE Q...