AIMC Topic: Humans

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Metaverse-based deep learning framework for coronary artery stenosis classification using Monte Carlo Dropout-based ResNet-152.

Computers in biology and medicine
Metaverse offers an immersive healthcare platform that combines virtual reality (VR) and artificial intelligence (AI), providing a new approach to medical diagnostics. However, difficulties such as inadequate spatial resolution, uncertainty managemen...

Novel molecular imaging approaches in oncology: towards a more accurate estimation of tumour response.

Current opinion in oncology
PURPOSE OF REVIEW: With novel therapeutics improving cancer survival rates, the need for accurate treatment response assessment has become increasingly crucial. The Response Evaluation Criteria in Solid Tumours remains the standard imaging method for...

Effect of robot-assisted rehabilitation of patients with Parkinson's disease: A meta-analysis.

Clinical rehabilitation
ObjectiveThis meta-analysis evaluates the effectiveness of robot-assisted rehabilitation on various functional outcomes in patients with Parkinson's disease.Data sourcesA comprehensive search was conducted in databases including PubMed, Embase, Cochr...

Artificial intelligence in prostate cancer.

Chinese medical journal
Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial...

Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results.

Acta psychologica
BACKGROUND: Accurately predicting children's memory and suggestibility in forensic contexts, such as child sexual abuse (CSA) investigations, remains challenging for human professionals. Large Language Model (LLM), as an advanced natural language pro...

Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

Surgical endoscopy
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatment for patients with unresectable malignant biliary obstruction (MBO), which can relieve biliary obstruction and prolong survival. Post-ERCP cholangi...

Predicting the prognosis of radical gastrectomy for patients with locally advanced gastric cancer after neoadjuvant chemotherapy using machine learning technology: a multicenter study in China.

Surgical endoscopy
BACKGROUND: Neoadjuvant chemotherapy (NAC) can improve the prognosis of patients with locally advanced gastric cancer (LAGC). However, precise models for accurate prognostic predictions are lacking. We aimed to utilize Cox regression and integrate va...

Generative Deep Learning for de Novo Drug Design─A Chemical Space Odyssey.

Journal of chemical information and modeling
In recent years, generative deep learning has emerged as a transformative approach in drug design, promising to explore the vast chemical space and generate novel molecules with desired biological properties. This perspective examines the challenges ...

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Science advances
Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantation in refractory or relapsed acute myeloid leukemia (AML), immunotherapies have been explored in nontransplant settings. We applied a multiomic appro...

Permanent magnetic droplet-derived microrobots.

Science advances
Microrobots hold substantial potential for precision medicine. However, challenges remain in balancing multifunctional cargo loading with efficient locomotion and in predicting behavior in complex biological environments. Here, we present permanent m...