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Personalized mood-enhancing music player
Our proposed application, the "MELAI Music Player," utilizes advanced AI techniques for accurate emotion detection. The MELAI Music Player employs facial recognition technology with an impressive face emotion recognition accuracy of 82.56%. This enables the application to analyze the emotions displayed by a person's facial expressions, providing a more comprehensive understanding of the user's current mood. Furthermore, the application utilizes sophisticated music emotion recognition techniques, including melody detection with an accuracy of 79.12%. This helps to identify the emotions conveyed by the song's rhythm, tempo, and melody, and analyze how they impact the user's mood.
Personalized medicine
The introduction of personalized medicine (PM) has been a milestone in the history of medical therapy, because it has revolutionized the previous approach of treating the disease with that of treating the patient. It is known today that diseases can occur in different genetic variants, making specific treatments of proven efficacy necessary for a given endotype. There is a growing attention towards personalized medicine. This is led by a fundamental shift from the ‘one size fits all’.. (Every year in the USA 2 million people die due to adverse drug effects, Drug efficacy is only in 60 % of the population - Other 40 % have poor drug effects or no effect at all ) paradigm for treatment of patients with conditions or predisposition to diseases, to one that embraces novel approaches, such as tailored target therapies, to achieve the best possible outcomes.
Personalized Hip and Knee Joint Replacement
This book describes and illustrates the surgical techniques, implants, and technologies used for the purpose of personalized implantation of hip and knee components.
Paperhive = خلية الأبحاث
In the vast expanse of academic exploration, PaperHive emerges as a sophisticated guiding tool tailored to support academic researchers in their scholarly pursuits. Its purpose is to empower researchers through the intricate lookout for relevant literature and assist them in various writing activities. PaperHive, combines the power of Semantic Scholar and cutting-edge AI technologies to seamlessly navigate the realm of literature exploration and provide the most efficient research experience. To ensure maximum accessibility, PaperHive provides both a mobile application and a website, allowing users to seamlessly browse and conduct research on the go. The platform’s recommendation system offers personalized recommendations based on user interests and paper selection, guiding researchers to the most valuable and relevant sources of information.Moreover, the integrated paraphrasing system produces diverse and accurate paraphrases of short paragraphs with a ROUGE-1 score of 49.46 and a BLEU-1 score of 48.64, enabling efficient and effective communication of research findings. PaperHive also offers a visual representation of the research landscape, aiding users in navigating and gaining a comprehensive understanding of related work.
Nanomedicine : Innovations, applications, and breakthroughs in the quest for health and medicine's future
Revolutionizing healthcare, by providing innovative solutions to some of the most challenging issues in medicine. This book provides an in-depth overview of nanoscale materials and devices that are advancing diagnostics, therapeutics, and personalized care in medical field. It focuses on nanomedicine’s impact on vaccine efficacy as well as innovative diagnosis and therapy for various type of cancer while addressing concerns about safety and toxicity. It examines how nanotechnology is enhancing drug delivery by precisely targeting medicines to specific cells or tissues, thereby increasing treatment efficacy with reduced side effects. Explores how nanoparticles are advancing medical imaging for earlier and more accurate disease detection, and how nanosensors allow real-time biomarker monitoring for faster and more reliable diagnoses. Additionally, it explores nanomedicine's role in managing cardiovascular diseases, improving bone health through nano-extracellular vesicles, and regenerative medicine, including ongoing clinical trials and ethical considerations.
Microsoft .NET framework 2.0 web-based client development : MCTS self-paced training Kit (Exam 70-528)
Designed to help you make the most of your study time. Maximize your performance on the exam by learning to: * Create, trace, configure, and deploy Web applications * Integrate data into your application using Microsoft ADO.NET, XML, and data-bound controls * Implement forms authentication, impersonation, and login controls * Configure server controls and create custom Web controls * Use themes, user profiles, and Web parts for customizable, personalized Web sites * Manage server-side and client-side application state PRACTICE TESTS Assess your skills with practice tests on CD. You can work through hundreds of questions using multiple testing modes to meet your specific learning needs. You get detailed explanations for right and wrong answers?including a customized learning path that describes how and where to focus your studies. Your kit includes: * Official self-paced study guide. * Practice tests with multiple, customizable testing options and a learning plan based on your results. *400+ practice and review questions. * Case scenarios and lab exercises. * Microsoft Visual Basic and Visual C# code samples on CD.
Intelligent Techniques for Web Personalization ; IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers
Web personalizationcan be de?ned as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casualas browsinga Web site oras (economically)signi?cantas tradingstock or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve e?ective personalization, organizations must rely on all available data, including the usage and click-stream data (re?e- ing user behavior), the site content, the site structure, domain knowledge, user demographics and pro?les. In addition, e?cient and intelligent techniques are needed to mine these data for actionable knowledge, and to e?ectively use the discovered ...
Intelligent drugs : How AI is transforming healthcare
The progress of biotechnologies and artificial intelligence allowed the development of vaccines in less than a year, thus saving millions of human lives and preserving the global economy. The emergence of intelligent drugs is highlighted, with the promise of ultra-targeted, more effective, and safer treatments against a wide range of diseases. Personalized medicine then becomes realistic, with computer-designed drugs, perfectly adapted to each individual, tested on virtual patients before their real use. In the near future, thanks to AI, new drugs will improve physical performance, stimulate cognitive abilities, prevent diseases, and slow down aging.
Innovative Learning Environments in STEM Higher Education : Opportunities, Challenges, and Looking Forward
As explored in this book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students.
Innovative bioceramics in translational medicine II : Surgical applications
Highlights the latest advances in innovative bioceramics applied in the highly interdisciplinary area referred to as “translational medicine”. This volume predominantly written by surgeons in the fields of craniomaxillofacial, orthopedics, and spinal surgery, examines the translation of innovative bioceramics and bioceramics-based composite from the laboratory to a personalized surgical environment for the repair of damaged and diseased bone tissues.
Innovative approaches for learning and knowledge sharing ; 1st European Conference on Technology Enhanced Learning, EC-TEL 2006, Crete, Greece, October 1-4, 2006, Proceedings
This book constitutes the refereed proceedings of the First European Conference on Technology Enhanced Learning, EiTEL 2006, held in Crete, Greece in October 2006. The 32 revised full papers, 13 revised short papers and 31 poster papers presented together with 2 keynote talks were carefully reviewed and selected from 192 submissions. The conference provides a unique forum for all research related to technology-enhanced learning, as well as its interactions with knowledge management, business processes and work environments. Topics addressed are collaborative learning, personalized learning, multimedia content, semantic web, metadata and learning, workplace learning, learning repositories and infrastructures for learning, as well as experience reports, assesment, and case studies.
Innovations in healthcare and outcome measurement : New approaches for a healthy lifestyle
Aims to bring up-to-date new ideas, opinions, development, and critical issues in healthcare and personalized medicine. We are interested in relevant articles covering a broad range of topics, such as: Advances in medical devices, Digitalization and data-driven technologies, AI and algorithm-based drug development (molecule building, enhancement, clinical trials), Diagnostic imaging, Personalized medicine, Nutrition, Oral health care, Healthcare management in certain diseases and population groups, Regulatory developments, Data management, Digital healthcare.
Impact of drug-microbiome interactions on drug response
Explains the mechanisms of drug-microbiome interactions, as well as the role of multiomic approaches, including metagenomics, metabolomics, and 16S rRNA sequencing to assess drug response variability. Findings suggest that integrating microbiome profiling into precision medicine could enhance personalized drug therapy, minimize adverse effects and optimize treatment outcomes.
High performance computing for drug discovery and biomedicine
Explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. Collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. And delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects.
Handbook of genetic diagnostic technologies in reproductive medicine : Improving patient success rates and infant health
Different genetic diagnostic and treatment options are used worldwide to improve routine IVF procedures for the benefit of patients. This handbook updates the new genetic diagnostic technologies that have been translated to the clinic, aiming to improve outcomes in the clinic and result in a healthy baby in the home. Chapters cover the use of genetic technologies in a personalized manner to unravel the possible genetic risks for the couple wishing to conceive, in terms of sperm, the embryo, the endometrium, miscarriage, and finally the fetus.
Genetic basis of oral health conditions
This book explains the genetic basis of a wide range of dental disorders, including dental caries, periodontitis, congenital anomalies, malocclusions, orofacial pain, dental implant failure, and cancer. The information provided in this book will assist in the delivery of effective personalized dental care through optimization of preventive strategies.
Gathering Hopewell : Society, Ritual and Ritual Interaction
In this book, twenty-one researchers in interwoven efforts immerse themselves and the reader in this vibrant archaeological record in order to richly reconstruct the faces, actions, and motivations Hopewellian people in their social and ritual life. Using a personalized and locally contextualized approach, the authors explore Hopewellian leadership, systems of social ranking and prestige, animal-totemic clan organization, kinship structures, sodalities, gender, community organizations, strategies of intercommunity alliance, and interregional travels for power questing, pilgrimage, healing, tutelage, and acquiring rituals.
Future approaches for safe and effective pain management
Pain is defined as an unpleasant sensory and emotional experience that is associated with actual or potential tissue damage or described in terms of such damage. It is subjective and considered an important physiological mechanism by which humans prevent themselves from developing tissue injury. However, pain patients do not respond to treatment in the same way, which makes it challenging to issue a consistent treatment for all pain conditions. Excessive pain can markedly increase psychological health problems and decrease health‐related quality of life; therefore, pain should be managed appropriately by analgesics. Analgesics act in various ways on the peripheral and central pain pathways and are regarded as one of the most valuable but equally dangerous groups of medications. Individual variability in pain perception and differences in the efficacy of analgesic drugs are complex phenomena and are partly genetically predetermined. Pain severities as well as responses to analgesics, can also be very variable among sufferer.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
From Hyperbolic Systems to Kinetic Theory : A Personalized Quest
Equations of state are not always effective in continuum mechanics. Maxwell and Boltzmann created a kinetic theory of gases, using classical mechanics. How could they derive the irreversible Boltzmann equation from a reversible Hamiltonian framework? By using probabilities, which destroy physical reality! Forces at distance are non-physical as we know from Poincaré's theory of relativity. Yet Maxwell and Boltzmann only used trajectories like hyperbolas, reasonable for rarefied gases, but wrong without bound trajectories if the "mean free path between collisions" tends to 0. Tartar relies on his H-measures, a tool created for homogenization, to explain some of the weaknesses, e.g. from quantum mechanics: there are no "particles", so the Boltzmann equation and the second principle, can not apply. He examines modes used by energy, proves which equation governs each mode, and conjectures that the result will not look like the Boltzmann equation, and there will be more modes than those indexed by velocity!
