Article
Psychology, Clinical
Alena Kuhlemeier, Thomas Jaki, Elizabeth Y. Jimenez, Alberta S. Kong, Hope Gill, Chi Chang, Ken Resnicow, Dawn K. Wilson, M. Lee Van Horn
Summary: This study demonstrates the use of personalized medicine methods to test individual differences in a obesity intervention program. The results show that some students had reduced BMI scores after the intervention, while others had increased scores. These methods are valuable for treatment selection, but limited in understanding the underlying mechanisms of these predictions.
JOURNAL OF BEHAVIORAL MEDICINE
(2022)
Article
Public, Environmental & Occupational Health
Camille R. Schneider-Worthington, Amber W. Kinsey, Fei Tan, Sheng Zhang, Alena C. Borgatti, Andrea L. Davis, Gareth R. Dutton
Summary: Black participants often lose less weight than White participants in behavioral weight-loss interventions. Many participants experience significant pretreatment weight fluctuations, which may contribute to racial differences in treatment responses. Pretreatment weight gain is more prevalent among Black participants.
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
(2022)
Article
Clinical Neurology
Cecilia Samieri, Hussein N. Yassine, Debora Melo van Lent, Sophie Lefevre-Arbogast, Ondine van de Rest, Gene L. Bowman, Nikolaos Scarmeas
Summary: Personalized nutrition may offer advantages in preventing dementia by incorporating individuals' dietary exposure history and biological characteristics to shape health more effectively. Further research from observational epidemiology to basic science is needed to achieve better prevention outcomes.
ALZHEIMERS & DEMENTIA
(2022)
Review
Chemistry, Medicinal
Janusz K. Rybakowski
Summary: Lithium plays a significant role as a mood stabilizer, preventing mood episodes and augmenting the effects of antidepressant drugs in treatment-resistant depression. Personalized lithium prophylaxis should take into account family history, biological factors, and clinical presentation.
DRUG DEVELOPMENT RESEARCH
(2021)
Review
Health Care Sciences & Services
Roberta Pastorino, Claudia Loreti, Silvia Giovannini, Walter Ricciardi, Luca Padua, Stefania Boccia
Summary: The current development of personalized medicine in disease prevention is still in its infancy, with a focus on identifying informative markers for disease risk before manifestation or early detection. Implementation of personalized medicine could lead to new preventive measures or early treatments targeted to high-risk individuals, enabling personalized prevention and rehabilitation. Integration of personalized medicine into prevention aims to benefit citizens, patients, healthcare professionals, healthcare authorities, and industry, ultimately contributing to better health and quality of life.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Nutrition & Dietetics
Hanna Sikorska-Szaflik, Joanna Polomska, Barbara Sozanska
Summary: This article discusses the increasing prevalence of asthma and obesity in the pediatric population, and highlights the worse symptoms and treatment response in obese children with asthma. The shared genetic and immunologic origin of asthma and obesity is suggested. Diet plays a crucial role in controlling both diseases.
Article
Health Care Sciences & Services
Marianna Mazza, Emanuele Caroppo, Domenico De Berardis, Giuseppe Marano, Carla Avallone, Georgios D. Kotzalidis, Delfina Janiri, Lorenzo Moccia, Alessio Simonetti, Eliana Conte, Giovanni Martinotti, Luigi Janiri, Gabriele Sani
Summary: Gender differences play a crucial role in early detection and personalized treatment of psychosis. Women with psychosis tend to have better overall functioning at symptom onset but are more likely to experience mood symptoms and potential side effects of medication.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Nutrition & Dietetics
Mohamad Motevalli, Clemens Drenowatz, Derrick R. Tanous, Naim Akhtar Khan, Katharina Wirnitzer
Summary: Childhood obesity is a complex and multifaceted metabolic disorder influenced by genetic and behavioral factors. Despite various interventions being effective, challenges and controversies still exist in the field of childhood obesity research and management strategies. Prioritizing personalized interventions based on the etiology of obesity and individual characteristics may lead to better outcomes.
Letter
Engineering, Biomedical
Sedat Arslan
Summary: Obesity is a serious global health problem, and artificial intelligence technologies offer new hope for patients who cannot be treated with traditional methods. Chat GPT is a popular language model with various applications in natural language processing. This article explores its potential use in obesity treatment, where it can provide personalized recommendations for nutrition plans, exercise programs, and psychological support, leading to more effective approaches to treating obesity. However, ethical and security concerns regarding its use should be considered. In conclusion, Chat GPT shows promise in obesity treatment, and its effective utilization can lead to better results.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Health Care Sciences & Services
Marina Ruxandra Otelea, Mihaela Trenchea, Agripina Rascu, Sabina Antoniu, Corina Zugravu, Stefan Busnatu, Anca Angela Simionescu, Oana Cristina Arghir
Summary: This study aimed to define smoking combined with obstructive sleep apnea (OSA) as a phenotype (SOSA) and demonstrate the detrimental effects of continued smoking on OSA. The findings indicated that smokers had an earlier onset of OSA and more severe daytime sleepiness. Chronic obstructive pulmonary disease (COPD) was more prevalent among smokers, and smoking significantly influenced the severity of OSA.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Health Care Sciences & Services
Juan Antonio Ortega-Garcia, Miguel Felipe Sanchez-Sauco, Jose Alberto Zafra-Rodriguez, Laura Teresa Cabrera-Rivera, Francisco Diaz-Martinez, Eduardo Manuel Llegus-Santiago, Juan Luis Delgado-Marin, Esteban Orenes-Pinero, Nicole Kloosterman, Albert Bach, Carlos Ojeda-Sanchez, Rebecca Ramis
Summary: A descriptive study was conducted to compare the environmental health results in women trying to get pregnant or pregnant using a mobile health application and to explore the relationship between their subjective well-being and lifestyles/environmental factors. The findings showed that women reported higher levels of risk factors when using the tool themselves compared to when it was used by professionals. The use of mobile health interventions during pregnancy could help improve healthcare quality and promote empowerment and healthier environments and lifestyles.
Review
Biochemistry & Molecular Biology
Giuditta Benincasa, Paola de Candia, Dario Costa, Mario Faenza, Gelsomina Mansueto, Giuseppe Ambrosio, Claudio Napoli
Summary: Dyslipidemias and atherogenesis in early stages may involve complex gene-environment interactions, and network medicine utilizing big data and artificial intelligence tools can improve personalized therapeutic strategies.
Article
Chemistry, Multidisciplinary
Jia Heng Teoh, Anbu Mozhi, Vishnu Sunil, Sook Muay Tay, Jerry Fuh, Chi-Hwa Wang
Summary: Personalized medicine and care for burn victims are vital, and 3D printing technology shows potential in fabricating customizable wound dressings. The investigation of chitosan methacrylate as a material for 3D printing wound dressings is important, as it shows good wound healing properties and antimicrobial capabilities.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Information Science & Library Science
Wei Chen, Yixin Lu, Liangfei Qiu, Subodha Kumar
Summary: Breast cancer remains a leading cause of cancer deaths among women globally, with contemporary treatment being complex and requiring highly specialized medical professionals. This research proposes a novel framework for decision support in treatment planning for early stage breast cancer patients undergoing radiotherapy, which consistently outperforms existing practices in simulation experiments. Our study contributes to the potential of healthcare information technologies in delivering cost-effective care and provides pragmatic models and tools for clinical care delivery systems.
INFORMATION SYSTEMS RESEARCH
(2021)
Review
Endocrinology & Metabolism
Manel Puig-Domingo, Ignacio Bernabeu, Antonio Pico, Betina Biagetti, Joan Gil, Cristina Alvarez-Escola, Mireia Jorda, Montserrat Marques-Pamies, Berta Soldevila, Maria-Angeles Galvez, Rosa Camara, Javier Aller, Cristina Lamas, Monica Marazuela
Summary: This paper proposes including the clinico-pathologic phenotype in the therapeutic algorithm for acromegaly, utilizing biomarkers for personalized medicine to accelerate the implementation of precision medicine. Additionally, the development, validation, and clinical use of a pasireotide acute test is suggested to identify patients responsive to pasireotide LAR.
FRONTIERS IN ENDOCRINOLOGY
(2021)