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Application of Artificial Intelligence in Neurological Disorders: Nutritional Neurosciences

Editat de Mullaicharam Bhupathyraaj, K. Reeta Vijayarani, Muralikrishnan Dhanasekaran, Mohamed Musthafa Essa
en Limba Engleză Hardback – 2 iul 2024

Observăm în literatura academică actuală o nevoie acută de sinteze care să pună în legătură progresele rapide din informatică cu provocările clinice ale neurologiei. Application of Artificial Intelligence in Neurological Disorders completează exact această lacună, oferind o examinare sistematică a modului în care algoritmii pot asista diagnosticul timpuriu și prognosticul bolilor neurodegenerative. Remarcăm o abordare curajoasă care nu se limitează la patologiile clasice, ci include capitole dedicate cancerului neuronal și impactului recent al Neuro-Covid-19, aspecte esențiale pentru un curriculum medical actualizat.

Comparabil cu Artificial Intelligence in Brain Disorders în rigurozitate, acest volum se distinge prin actualizarea necesară pentru contextul post-pandemic și prin accentul pus pe intervențiile bazate pe AI în cercetarea depresiei. Structura cărții este concepută pentru o progresie logică: primele capitole se concentrează pe afecțiuni cognitive și oncologice (Alzheimer, cancer neuronal), trecând apoi spre tulburări de mișcare și infecții ale sistemului nervos, culminând cu viziuni despre medicina personalizată în psihoză. Această lucrare continuă direcția de cercetare a editorului Mullaicharam Bhupathyraaj, care în Artificial intelligence in Pharmaceutical Sciences a explorat utilizarea tehnologiei în dezvoltarea medicamentelor, extinzând acum aceleași principii către diagnosticul clinic și neuroimagistică. Suntem de părere că integrarea studiilor de caz despre analiza sistemelor biologice în demență oferă cercetătorilor un instrument de lucru pragmatic, nu doar o trecere în revistă teoretică.

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Specificații

ISBN-13: 9789819725762
ISBN-10: 9819725763
Pagini: 276
Ilustrații: XIII, 259 p. 27 illus., 24 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.58 kg
Ediția:2024
Editura: Springer
Colecția Nutritional Neurosciences
Seria Nutritional Neurosciences

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această lucrare studenților și cercetătorilor care doresc să înțeleagă aplicațiile practice ale inteligenței artificiale în neurologie. Cititorul câștigă o perspectivă clară asupra modului în care AI optimizează analiza neuroimagistică și facilitează accesul la îngrijire coordonată în afecțiuni complexe precum depresia sau epilepsia. Este un recurs esențial pentru cei care urmăresc tranziția către o medicină de precizie, oferind soluții concrete pentru diagnosticul precoce al bolilor neurodegenerative.


Despre autor

Mullaicharam Bhupathyraaj este un cercetător și editor respectat în domeniul intersecției dintre tehnologie și sănătate. Cu o experiență vastă în științele farmaceutice, acesta a coordonat lucrări fundamentale care explorează intervenția inteligenței artificiale în dezvoltarea sistemelor de livrare a medicamentelor și a dispozitivelor medicale. Colaborarea sa cu experți precum K. Reeta Vijayarani și Muralikrishnan Dhanasekaran în cadrul acestui volum publicat de Springer reflectă un angajament pe termen lung față de avansarea neuroștiințelor prin metode computaționale moderne.


Descriere scurtă

This book discusses the role of artificial intelligence in neurological disorders, including, alleviating movement disorders, psychiatric disorders, diagnosis of neurological and neurodegenerative disorders, dementia, neuronal cancer, neuronal Infections, and brain diseases. It explores applications of artificial intelligence in the early diagnosis, prognosis, and development of new therapies against neurodegenerative disorders. This book also provides cutting-edge research using AI for studying neuroimage analysis, toward the discovery of new biological pathways and systems implicated in dementia and related diseases. It also reviews AI-based interventions in depression research and treatment. The chapter also examines the potential benefits of using AI to help manage depression, from improved access to coordinated care. This book is an essential source for students, researchers, academicians, and neurologists aiming to understand AI-based approaches for the diagnosis, treatment, and prevention of neurological disorders.
 

Cuprins

Chapter 1. Current and Futuristic Role of Artificial Intelligence for the Prevention and Treatment of Alzheimer's Diseases.- Chapter 2. Use of Artificial Intelligence in Preventing and Treating Neuronal Cancer.- Chapter 3. Use of Artificial Intelligence in Cerebral Disorders.- Chapter 4. The Role of Artificial Intelligence in Depression.- Chapter 5. Artificial Intelligence: Its Critical Role in the Diagnosis, Prophylaxis, and Therapy of Epilepsy.- Chapter 6. Influence of Artificial Intelligence in the Control of Movement Disorders.- Chapter 7. How Artificial Intelligence is Transforming the Prevalence and Prevention of Neuroinfectious Disease?.- Chapter 8. Application of Artificial Intelligence in NeuroCovid-19.- Chapter 9. The Thriving Influence of Artificial Intelligence in Neuroscience.- Chapter 10. Artificial Intelligence: The Future of Individualized and Effective Healthcare Approach for Psychosis.- Chapter 11. Impact of Artificial Intelligence on the Treatment of Spinal Cord Injury.- Chapter 12. Role of Artificial Intelligence in Clinical and Hospital Pharmacy.

Notă biografică

Prof. Mullaicharam is a professor of pharmaceutics at the College of Pharmacy, National University of Science & Technology, Muscat, Sultanate of Oman. She has more than two decades of teaching and research experience and has received awards at the national and international levels. She received many research grants and has 9 international patents. Her research interests include biomedical, nano pharmaceuticals, herbal formulation development, and applications of AI. She has publications and patents in the field of artificial intelligence in medical imaging and has published various research articles in peer-reviewed journals, and several book chapters. She is also serving as an editorial board member and a reviewer in various peer-reviewed journals and presented many papers at various conferences. She has authored many textbooks (USA and Germany) and is a reviewer of several peer-reviewed journals. She is a registered pharmacist, in India and a life member of professional bodies of IPA, ( The Indian Pharmaceutical Association) APTI (Association of Pharmaceutical Teachers of India), IPGA (Indian Pharmacy Graduates Association), and ISTE (International Society for Technology in Education).
 
Prof. Reeta Vijaya Rani is a professor in the pharmaceutics department of Surya School of Pharmacy in Vikravandi, Villupuram, and a member of the Surya Group of Institutions. She has combined experience of 27 years in pharmaceutical research and education.  She has authored and presented papers at both the national and international levels and is serving as an editorial board member and a reviewer in various peer-reviewed journals. She has extensive academic writing knowledge and experience.  She has written and edited various chapters and textbooks on pharmaceutical science. Prof. Reeta also holds the achievement of securing Indian & German patents. Her key research interests are biodiversity and novel therapeutic techniques.
 
Prof. Muralikrishnan Dhanasekaran, Ph.D., is a professor in the department of drug discovery and development at Harrison School of Pharmacy, Auburn University, USA.  He has more than 110 peer-reviewed international publications, and several book chapters, and is a reviewer of various peer-reviewed journals. Prof. Dhanasekaran's lab and research interests are in preclinical research and drug development in neuropharmacology. His current research involves elucidating the neuroprotective and neurotoxic effects of natural bioactive and synthetic compounds and discovering and developing drugs/compounds targeting epilepsy, alzheimer's disease, and parkinson's disease.
 
Prof. Musthafa Mohamed Essa, Ph.D., is a professor of nutrition at Sultan Qaboos University, Oman. He is an Editor-in-Chief for the International Journal of Nutrition, Pharmacology, Neurological Diseases. He is also acting as an associate editor for BMC complementary and alternative medicine and is an Editor for Frontiers in Neuroscience and Frontiers in Biosciences. Prof. Essa is an expert in the field of nutritional neuroscience/neuropharmacology and has published more than 182 papers, 60 book chapters, and 14 books. Prof. Essa is the recipient of several awards, including the best book in the world, National Research Award, Outstanding neuroscientist, and Distinguished Researcher. He has over 15 years of research and teaching experience in the field of nutritional neuroscience.
 

Caracteristici

Discusses AI-based approach for the identification and treatment of depression Reviews the applications of artificial intelligence for the diagnosis and treatment of neurological disorders Highlights the role of AI in psychological interventions and diagnosis