Personalised Medicine: From Genomics to 3D-Printed Pharmaceuticals | Chapter 1 | Medical Science: Updates and Prospects Vol. 1

 

Personalised medicine (PM) is a patient-specific approach to treatment that integrates genetic, epigenomic, and clinical data. PM has the potential to transform traditional medical practice by tailoring therapies to individual genetic profiles. The significant advantages and limitations must be carefully considered. Manufacturers are using drug repurposing, biomarker-driven R&D, and collaborations with diagnostics and IT sectors. Personalised medicine not only enhances therapeutic precision but also advances preventive care through polygenic risk scores and early biomarker detection. The integration of digital health tools, including wearables and telemedicine, further supports patient-specific monitoring. Real-world examples, such as FDA-approved targeted therapies and CAR-T cells, illustrate its transformative potential. Innovations such as CRISPR-based interventions, AI-driven decision support, and personalised vaccines are highlighted. Liquid biopsy, single-cell omics, artificial intelligence, and healthcare digitalisation, further supporting its implementation, are cutting-edge tools. The Quality by Design (QbD) principles for safe, consistent, and effective production of personalised 3D-printed tablets have been explained. Critical material attributes (CMAs), critical process parameters (CPPs), and critical quality attributes (CQAs) together enable regulatory-compliant manufacturing by ensuring drug dosage accuracy, content uniformity, dissolution control, and robust production conditions. Beyond treatment, it raises ethical considerations related to data privacy and equitable access. Although cost-intensive, it reduces long-term healthcare burdens by minimising adverse reactions.

 

 

Author(s) Details

B. Navya Sree
Arya College of Pharmacy, India.

 

Saif Bin Salim
Arya College of Pharmacy, India.

 

Mohd Abdul Kareem
Arya College of Pharmacy, India.

 

M. Srikanth
Arya College of Pharmacy, India.

 

 

AVS Rajeswari
Department of Pharmaceutics, Arya College of Pharmacy, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/msup/v1/6352

 

Bioinformatics-driven Approaches in Modern Drug Design and Development | Chapter 7 | Innovations in Science and Technology: Shaping a Sustainable Future (Vol. 1)

Bioinformatics serves as the comprehensive solution for addressing various challenges in drug design, encompassing issues such as high costs, staffing needs, technical expertise requirements, regulatory constraints, and time limitations. Despite significant investments in financial and human resources, drug development endeavours often fall short of achieving market success. The genomic sequence generated by bioinformatics is pivotal, expediting gene identification for scientists. Traditional drug development processes are not only costly and time-consuming but also prone to failure. Industry observers emphasize the importance of streamlining drug development and discovery to uphold pharmaceutical companies & profitability and productivity. Numerous fields are included in bioinformatics, such as population genetics, transcriptomics, proteomics, genomic analysis, and molecular phylogenetics. Within the process of drug discovery, the persons working in the field of bioinformatics leverage molecular data having high throughput to compare symptomatic subjects against normal controls, aiming to establish connections between disease symptoms and various genetic, epigenetic, and environmental factors. Key objectives include identifying drug targets, refining drug candidates, and assessing potential drug resistance and environmental impacts. As a data-driven field, bioinformatics continually evolves, adapting databases and algorithms to novel data types. Its applications are vital for predicting biomolecules supporting treatment, prevention, and mechanisms of action against infectious diseases, utilizing tools to analyze biological data from diverse omics fields. Moreover, bioinformatics methodologies facilitate experimental molecular biology by extracting meaningful insights from extensive raw data, particularly in genetics, where it aids in genome sequencing, annotation, and visualization of mutations. Additionally, bioinformatics enables the storage, management, and prediction of drug targets, laying the groundwork for further research to solidify links between targets and diseases. Overall, bioinformatics empowers computers to genetic interactions, and handle pathways, structures, sequences and functions, shaping the forefront of biological research and drug discovery.

 

Author(s)details:-

 

Ripu Daman
Department of Biotechnology, Chaudhary Bansi Lal University, Bhiwani, Haryana, India.

 

Ripu Daman
Department of Biotechnology, Chaudhary Bansi Lal University, Bhiwani, Haryana, India.

 

Please See the book here :- https://doi.org/10.9734/bpi/mono/978-81-973809-6-9/CH7

Bioinformatic Approaches and Their Applications in Sericulture | Chapter 5 | Research Perspectives of Microbiology and Biotechnology Vol. 2

Bioinformatics, the fusion of biology, computer science, and information technology, has become indispensable for comprehending and managing the immense biological data generated by modern molecular techniques. This review explores the significance of bioinformatics in sericulture, focusing on its applications in silkworm (Bombyx mori) and host plant research. Numerous online databases, including SilkDB, KAIKObase, SilkBase, and MorusDB, have been established to organize and provide access to genomic, transcriptomic, and proteomic data for silkworms, mulberry, and associated organisms. Bioinformatic analyses have facilitated the identification of genes conferring desirable traits such as disease resistance, drought tolerance, and olfactory modulation in silkworms and host plants. Case studies exemplify the utility of bioinformatics in unraveling the defense mechanisms of the silkworm cocoon and tracing horizontal gene transfer events during evolution. The integration of bioinformatics tools has accelerated research progress, enabling informed decision-making for the enhancement of silkworm health, productivity, and the overall sericulture industry. As sericulture in Assam and India possesses immense potential with four distinct silkworm varieties, the strategic application of bioinformatics is crucial for leveraging next-generation sequencing data to drive advancements in this field.

Author(s) Details:

Dipankar Brahma,
Department of Sericulture, Forest College and Research Institute, Mettupalayam-641301, India.

Nilav Ranjan Bora,
Department of Sericulture, Forest College and Research Institute, Mettupalayam-641301, India.

Rushali Chakraborty,
Department of Entomology, College of Agriculture, AAU, Jorhat 785013, India.

Jugabrat Sarma,
Department of Sericulture, Assam Agricultural University, Jorhat, Assam 783350, India.

Abhigyan Rajhowa,
Department of Sericulture, Assam Agricultural University, Jorhat, Assam 783350, India.

Please see the link here: https://stm.bookpi.org/RPMAB-V2/article/view/14120

Genomic and Proteomic: Concept and Application | Chapter 9 | Advanced Concepts in Medicine and Medical Research Vol. 3

 Genomics is the combining several branches of learning science to think the structure, function and progress of genes and their interactions by labeling, molecular characterization and replicating of whole genomes for the ultimate aim of understanding phenomics of organisms.  Overall genomics contains sequencing of genomes, determination of complete set of genes, reasoning of transcripts and proteins encoded by an structure, their interactions and understanding of metabolic pathways. Thus, genomics not only handles the generation of the hereditary information, but also understanding devices by which this facts is used by an creature. Genomics is often detached into structural genomics, working genomics and comparative genomics. Proteins do a variety of important duties in living things. The whole group of proteins that a system or being produces or modifies is known as the proteome. A increasing number of proteins can be labeled thanks to proteomics. The focus of the current review act various occurrences and features related to genomics and proteomics.

Author(s) Details:

Sanjaya Kumar Nayak,
College of Pharmaceutical Science, Puri, Odisha, India.

Biswaranjan Ray,
Institute of Pharmaceutical Science, Jaleswar, Odisha, India.

Please see the link here: https://stm.bookpi.org/ACMMR-V3/article/view/12371

Future Prevention of Coronary Artery Disease Based on Genetic Risk Stratification | Chapter 5 | Research Highlights in Disease and Health Research Vol. 1

 The purpose concerning this study is to decide the reason for rapidly increasing diagnoses of autism. In 2018, the Centers for Disease Control (CDC) reported that 1 in 44 teenagers were diagnosed accompanying an autism spectrum disorder, for a predominance rate of 2.27% of the population. In 2012, a review of all-encompassing prevalence of autism found 62 cases per 10,000 nation, for a prevalence rate of 0.62 portion. This apparent 266 portion increase in autism prevalence is in bare contrast to all other disorders filed in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), for which skilled has been no increase in predominance over this same six-old age period. The increase in asserted autism prevalence from 0.62 to 2.27 allotment is entirely on account of the DSM-5 creation of a wrong and overly broad autism range (ASD) catch-all category that includes environments unrelated to autism. These figures desire that 70% of those who have happened given an ASD disease may not be autistic. What the therapy professions urgently demand is a causal located definition of autism, as urged in this report. Autism is an hereditary neurophysiological difference in by virtue of what the brain processes news and is caused by a flawed cingulate gyrus (CG), that part of the brain that focuses attention.

Author(s) Details:

Robert Roberts,
St. Joseph’s Hospital and Medical Center, Dignity Health 500 W Thomas Rd, Phoenix, AZ 85013, Arizona, USA.

Esperanza Acuna Luna,
St. Joseph’s Hospital and Medical Center, Dignity Health 500 W Thomas Rd, Phoenix, AZ 85013, Arizona, USA.

Alison MacKenna Roberts,
St. Joseph’s Hospital and Medical Center, Dignity Health 500 W Thomas Rd, Phoenix, AZ 85013, Arizona, USA.

Please see the link here: https://stm.bookpi.org/RHDHR-V1/article/view/9503

Prevalence of Genomic Change Provides New Visions of Autism| Chapter 15 | Current Topics in Medicine and Medical Research Vol. 8

 The immense genetic contribution to autism spectrum disorders has been emphasised by genomic research, with over 80 percent of patients displaying improvements through high resolution chromosome (microarray) analysis or whole exome sequencing. An summary of these genetic changes reveals the predicted role of synaptic transmission in autism, demonstrating the significance of visual feedback in the development of sensory systems and social responses along with clinical findings. During periods of neuroplasticity, neonatal detection of autism predisposition via genetic examination could allow sensory stimulation therapies, an approach similar to strabismus correction prior to the deviant eye's cortical dissociation. A good insight can lead to results that can not be achieved by a pointless experiment, and a good idea or analysis may accomplish what a thousand experiments can not do with one hit. Therefore, subject to critical assessment, we must take whatever information is available in every field and attempt to use it to its full extent.

Author(s) Details

Golder N. Wilson
Department of Pediatrics, Texas Tech University Health Science Centers, Lubbock, USA.

Vijay S. Tonk
Department of Pediatrics, Texas Tech University Health Science Centers, Lubbock, USA.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/316