AIMC Topic: Precision Medicine

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Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making.

Cancer research
Mathematical models have played a significant role in the development of current chemo- and radiotherapy treatment protocols. The widespread use of cytotoxic drugs has shaped the paradigm of uniformly administering a "maximum tolerated dose" to patie...

Precision Oncology: 2025 in Review.

Cancer discovery
This article discusses the specific advances made in precision oncology in 2025, in which we saw the approval of multiple new indications for known precision oncology agents and early promising data for novel agents that target either classical pathw...

[AI-assisted transformation from single imaging to multi-omics data analysis enhances the precision diagnosis and treatment of lung cancer/lung nodules].

Zhonghua yi xue za zhi
Conventional radiomics approaches are constrained by suboptimal diagnostic performance, limited capacity to characterize molecular heterogeneity within the tumor microenvironment, and insufficient capture of critical biological information regarding ...

[Towards an equipped psychiatry].

L'Encephale
The article by Moizard and Geoffroy highlights the importance of an integrated approach in psychiatry, emphasizing the need to move beyond the dichotomy between the somatic and the psychic. In their commentary, the authors advocated for precision psy...

Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management.

Annals of medicine
Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing ...

Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study.

The Journal of dermatological treatment
BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimize treatment strategies, potentially reducing relapse rates and alleviating the burden of disease management.

AI-enhanced telemedicine for personalized antiretroviral therapy in HIV patients with neurological comorbidities: a narrative review.

Postgraduate medical journal
BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition with highly active antiretroviral therapy (HAART), often precipitates the onset of neurological comorbidities such as HIV-associated neurocognitive dis...

Technological advances in the search for a CURE for asthma.

The Medical journal of Australia
Asthma is a chronic respiratory disease that affects more than 250 million people. It is a heterogeneous disease with a variety of symptoms, severity, and underlying mechanisms. Long term remission has been achieved for small subgroups of people with...

[Opportunities and challenges in the pathological diagnosis of pediatric tumors in the molecular and artificial intelligence era].

Zhonghua bing li xue za zhi = Chinese journal of pathology
Pediatric tumors differ significantly from adult cancers, possessing unique developmental origins, histological features, and molecular genetic changes. With the rapid advancement of multi-omics technologies, such as genomics, transcriptomics, proteo...

From Innovation to Impact: Advancing Cancer Research Together.

Cancer discovery
Cancer research has entered a transformative era, marked by rapid advances in immunotherapy, early detection, precision oncology, and artificial intelligence that are reshaping prevention, treatment, and survivorship. To sustain momentum, the global ...