Ion SANDU1, 2, 3, 4, Adrian Valentin COTIRLET1, 5, Gogu GHIORGHITA1, Roxana CURCA1,3, Andrei Victor SANDU1,2,4,6*
Abstract. The paper presents current aspects of experimental altmetrics used as a precursor in Artificial Intelligence (AI) for establishing the diagnosis and treatment of a patient, respectively, through a selective analitical protocol resulting in pharmaceutical formulations with optimal and compatible compositions for a human subject under study. Thus, modern methods of medical analysis in a system of digitisation, assay, and corroboration of interdisciplinary techniques are used to establish an appropriate treatment. It includes biochemical, haematological, immunological, serological, bacteriological, virological, mycological, parasitological, histological, cytological, pathological, and other types of analysis by examining samples from the human body (blood samples, urine, CSF, secretions, tissues, etc.), as well as imaging or functional explorations. Most are standardised by accreditation-attestation systems of quality and conformity of characteristics, which are unanimously accepted worldwide. Special attention is paid to the determination of the blood group through the AB0/Jan Jansky system and the Rhesus factor (Rh), which has both a medical and personal importance, being related to the risk of developing certain diseases (coronary pathologies, gastric cancer, peptic ulcer, memory, thinking and reasoning problems associated with dementia, etc.) and which provides essential information to specifically guide lifestyle to reduce the risk of developing certain diseases. The diagnosis and treatment will also consider the family history or health history of first-degree relatives and the patient’s biorhythm. When discussing medical tests, altmetrics allows a complete interpretation of the results based on the context of the clinical information, always focusing on the patient with their suffering or condition and not on the disease in general. In other words, the patient manages explicitly the course of their suffering, and the recommended treatment must take into account many factors, in particular endogenous factors (blood group, genetic inheritance, static and dynamic biometric characteristics – weight, height, age, immune system, resistance to allergens, etc.). We discuss the altmetrics of medical analyses to validate only those acuities specific to a patient’s integrated suffering. Moreover, several methods are neither standardised nor approved by the competent national agencies (RENAR), and the reference range for the values obtained is not specific to a sick person but to a disease.
Keywords: medical analysis, imaging, functional exploitations, evidentiary characteristics, normal range of variation of analytical values, condition, treatment, integrated AI, evaluation, compatibility, biometry, experimental protocol.
DOI 10.56082/annalsarsciphyschem.2025.2.43
1 Academy of Romanian Scientists, 3 Ilfov St., RO-050044, Bucharest, Romania
2 National Institute for Research and Development in Environmental Protection, Splaiul Independenței, nr. 294, Sector 6, 060031 Bucharest, Romania
3 Alexandru Ioan Cuza University of Iasi, Science Department, Interdisciplinary Research Institute, Bld. Carol I, nr. 11, 700506 Iasi, Romania
4 Romanian Inventors Forum, Str. Sf. Petru Movilă, nr. 3, L11, III/3, 700089 Iași, Romania
5 Moinești Municipal Emergency Hospital, str. Zorilor, nr. 1, 605400 Moinești, Bacău, Romania
6 Gheorghe Asachi Technical University of Iasi, The Faculty of Material Science and Engineering, Bld. D. Mangeron, nr. 61, 700050 Iasi, Romania
* Corresponding author: ion.sandu@uaic.ro
PUBLISHED in Annals of the Academy of Romanian Scientists Series on Physics and Chemistry, Volume 10, No2