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Artificial Intelligence in Healthcare- An Overview 医疗保健中的人工智能-概述
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00039
Lakshmidevi Sigatapu, S. Sundar, K. Padmalatha, Sravya. K, D. Ooha, P. Uha Devi
Artificial intelligence (AI) has been developing fleetly in recent times in terms of software algorithms, tackle preparation, and operations in a vast number of areas. In this review, we epitomize the rearmost of operations of AI in biomedicine, including complaint diagnostics, living backing, biomedical information processing, and biomedical exploration. The end of this review is to keep track of new scientific accomplishments, to understand the vacuity of technologies, to appreciate the tremendous eventuality of AI in biomedicine, and to give experimenters in affiliated field’s alleviation. It can be asserted that, just like AI itself, the operation of AI in biomedicine is still in its early stage. New progress and improvements will continue to push the frontier and widen the compass of AI operations, and fast developments are envisaged in the near future.AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions. Artificial intelligence (AI) is gradationally changing medical practice. With recent progress in digitized data accession, machine literacy and computing structure, AI operations are expanding into areas that were preliminary allowed to be only the fiefdom of mortal experts. In this Review composition, we outline recent breakthroughs in AI technologies and their biomedical applications, identify the challenges for further progress in medical AI systems, and epitomize the profitable, legal and counteraccusations of AI in healthcare.
近年来,人工智能(AI)在软件算法、解决方案准备和众多领域的操作方面发展迅速。本文综述了人工智能在生物医学领域的主要应用,包括投诉诊断、活体支持、生物医学信息处理和生物医学探索。回顾的目的是跟踪新的科学成就,了解技术的空白,欣赏人工智能在生物医学领域的巨大可能性,并给相关领域的实验人员减轻压力。可以说,就像人工智能本身一样,人工智能在生物医学领域的运作还处于起步阶段。新的进展和改进将继续推动人工智能操作的前沿和扩大指南针,并在不久的将来设想快速发展。医疗保健中的人工智能是描述机器学习(ML)算法和其他认知技术在医疗环境中的应用的总称。从最简单的意义上说,人工智能是指计算机和其他机器模仿人类的认知,并且能够学习、思考、做出决定或采取行动。人工智能(AI)正在逐步改变医疗实践。随着最近在数字化数据接入、机器读写能力和计算结构方面的进展,人工智能业务正在扩展到最初只允许人类专家涉足的领域。在这篇综述文章中,我们概述了人工智能技术及其生物医学应用的最新突破,确定了医疗人工智能系统进一步发展的挑战,并概括了人工智能在医疗保健领域的盈利、法律和反指控。
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引用次数: 0
Effect of Oleo-gum-resin of Boswellia serrata Roxb. (Kundur) on Cadmium Chloride Induced Renal Toxicity in Albino rats 油胶树脂对锯齿乳香的影响。(Kundur)氯化镉对白化大鼠肾毒性的影响
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00034
Mahe Alam, K. Javed, MA Jafri
Kundur (oleo-gum-resin of Boswellia serrata Roxb.) is an ingredient in certain Unani formulations used in kidney disorders. Cadmium is potentially a severe nephrotoxin, because cadmium has a biologic half life of more than 30 years. In the present study the effects of Kundur and its methanol soluble (MS) and methanol insoluble (MINS) fractions were investigated on Cadmium chloride induced nephrotoxicity in Albino rats. The animals of group I and II were administered with 1% CMC (1000mgl/kg, p.o.) and the animals of groups III, IV and V were administered with Kundur (1000mg/kg, p.o.), MS (650mg/kg, p.o.) and MINS (350mg/kg, p.o.) respectively for eight days. Animals in group II, III, IV and V were co-administered Cadmium chloride (3mg/kg/bodyweight) from the fourth day to the end of study (eight day). On the 9th day (after 24h s.c. ingestion) blood samples were withdrawal, blood samples centrifuged and serum was separated to measure the concentration of blood urea nitrogen (BUN) and serum creatinine. Albino rats fed with Kundur and MI fraction showed a significant prevention in the rise of serum markers while MS failed to prevent the rise of these serum makers. These results suggest that Kundur (Boswellia serrata Roxb.) and MINS fraction may have potential to reduce the nephrotoxicity in Albino rats.
Kundur (Boswellia serrata Roxb.的油脂树脂)是某些用于肾脏疾病的Unani配方中的一种成分。镉是一种潜在的严重肾毒素,因为镉的生物半衰期超过30年。本文研究了昆都尔及其甲醇溶性(MS)和甲醇不溶性(MINS)部位对氯化镉致白化病大鼠肾毒性的影响。ⅰ组和ⅱ组分别给予1% CMC (1000mg/kg, p.o.),ⅲ组、ⅳ组和ⅴ组分别给予昆都尔(1000mg/kg, p.o.)、MS (650mg/kg, p.o.)和MINS (350mg/kg, p.o.),连续8 d。II、III、IV和V组从第4天至研究结束(第8天)共给予氯化镉(3mg/kg/体重)。第9天(给药24h后)取血,离心后分离血清,测定血尿素氮(BUN)和血清肌酐浓度。Kundur和心肌梗死对白化大鼠血清标志物的升高有明显的抑制作用,而MS对这些血清标志物的升高没有抑制作用。上述结果提示,孔杜尔(Boswellia serrata Roxb.)和MINS提取物可能具有降低白化大鼠肾毒性的潜力。
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引用次数: 0
Nanosuspension: A Novel Approach to Improve the Solubility, Bioavailability and Pharmacokinetics of Poorly Soluble Drugs 纳米混悬液:一种改善难溶性药物溶解度、生物利用度和药代动力学的新方法
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00035
Arpita Tupe, S.D. Mankar
Solubility is an essential factor for drug effectiveness, independent of the route of administration. Poorly water soluble drugs show major problems for drug formulation. Many conventional methods exist to address the issues of poor solubility and bioavailability, but they have many drawbacks. Nanotechnology is employed to address the issues related to these traditional methods for improving solubility and bioavailability. Pharmaceutical nanosuspension is a very finely colloid, biphasic, dispersed, solid drug particles in an aqueous vehicle, size below 1µm, without any matrix material, stabilised by surfactants and polymers, prepared by suitable methods for Drug Delivery applications, through various routes of administration such as oral, topical, parenteral, ocular and pulmonary routes. This article covers the advantages, disadvantages, properties, preparation of nanosuspension by bottom up technology, top down technology, melt emulsification, emulsification- solvent evaporation and supercritical fluid with their advantages and disadvantages, evaluation, and their drug delivery applications.
溶解度是影响药物有效性的重要因素,与给药途径无关。水溶性差的药物是药物配方的主要问题。许多传统的方法存在,以解决溶解度和生物利用度差的问题,但他们有许多缺点。纳米技术被用来解决与这些传统方法有关的问题,以提高溶解度和生物利用度。药物纳米混悬液是一种非常精细的胶体,双相,分散,固体药物颗粒,在水载体中,尺寸小于1微米,不含任何基质材料,由表面活性剂和聚合物稳定,通过各种给药途径,如口服,局部,非肠注射,眼和肺途径,通过合适的方法制备,用于药物输送应用。本文介绍了纳米悬浮液的优缺点、性质、制备方法、自底向上技术、自顶向下技术、熔融乳化技术、乳化-溶剂蒸发技术和超临界流体技术的优缺点、评价及其给药应用。
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引用次数: 0
Prospective Current Novel Drug Target for the Identification of Natural Therapeutic Targets for Alzheimer's Disease 寻找阿尔茨海默病天然治疗靶点的前瞻性新药物靶点
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00030
Kaman Kumar, Pooja Singh, Divya Sharma, Akanksha Singh, Himanshu Gupta, Arjun Singh
In today's societies, Alzheimer's disease (AD) is a significant issue. In the US, more than five million people, most of whom are 65 or older, suffer from Alzheimer's disease. By 2060, there will be fourteen million Americans living with Alzheimer's disease, according to a report by the Alzheimer's Association. To find hits with polypharmacological activities, libraries of compounds can be biologically screened based on these targets. These hits can have their structural properties altered to improve the overall profile, just like molecules created using techniques based on knowledge or medicinal chemistry. Designing multi-target ligands against key targets of interest would undoubtedly benefit from knowledge of the roles played by various targets in the development of AD as well as pharmacophores with related biological activities. Computational tools are used to assist in the design of potential polypharmacological lead molecular scaffolds, in addition to knowledge-based and biological screening-based approaches. It is becoming more common to use pharmacophore modelling, machine learning, and structure-based virtual screening to forecast biological activity and target-ligand interaction for various chemical libraries.
在当今社会,阿尔茨海默病(AD)是一个重大问题。在美国,超过500万人患有阿尔茨海默病,其中大多数人年龄在65岁或以上。根据阿尔茨海默病协会的一份报告,到2060年,将有1400万美国人患有阿尔茨海默病。为了找到具有多药理活性的靶点,可以根据这些靶点对化合物文库进行生物学筛选。就像利用基于知识或药物化学的技术创造分子一样,这些命中物可以改变其结构特性以改善整体轮廓。针对感兴趣的关键靶点设计多靶点配体无疑将受益于了解各种靶点在AD发展中所起的作用以及具有相关生物活性的药效团。除了基于知识和基于生物筛选的方法外,计算工具还用于协助设计潜在的多药理学先导分子支架。使用药效团建模、机器学习和基于结构的虚拟筛选来预测各种化学文库的生物活性和靶配体相互作用正变得越来越普遍。
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引用次数: 0
Extraction, Isolation and Characterization of Okra Mucilage, as Potential source of Binder in Tablet 秋葵黏液作为片剂粘结剂的提取、分离及特性研究
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00032
Rutuja R Shah, Rahul S Adnaik, Pratibha R Adnaik, Swapnil S Patil
The major objective of the present investigation was to extract a natural polymer (okra mucilage) with its characterization as a pharmaceutical binder and to formulate, develop and evaluate the compression of tablet using okra binder. Binders are agent employed to impart cohesiveness to the granules. This ensures the tablet remain intact after compression. The researcher is trying to find new excipient for potential use of binding agent in tablet formulation continues to the interest. This is because different binding agent can be useful in achieving various tablet mechanical strength and drug release properties for different pharmaceutical purpose. The result presented here shows that the mucilage obtained from okra can be used as a binder in paracetamol tablets formulation with good physical properties. Tablet of long disintegration times were produced, hence it’s potential in binding and prepare the granule of pharmaceutical formulation.
本研究的主要目的是提取一种天然聚合物(秋葵粘液)及其作为药物粘合剂的特性,并利用秋葵粘合剂配制、开发和评估片剂的压缩性能。粘合剂是用来赋予颗粒内聚性的药剂。这样可以确保药片在压缩后保持完整。研究人员正在努力寻找新的赋形剂,以潜在地在片剂配方中使用结合剂。这是因为不同的结合剂可用于不同的药物用途,以获得不同的片剂机械强度和药物释放特性。结果表明,从秋葵中提取的黏液可作为对乙酰氨基酚片的粘合剂,具有良好的物理性能。制备了崩解时间较长的片剂,具有结合制备制剂颗粒剂的潜力。
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引用次数: 0
Formulation and Evaluation of Butea monosperma (Lam.) Ointment 单精子丁茶(Butea monosperma)的配方及评价药膏
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00031
R. S. Chavan, A. V. Shrirao, N. I. Kochar, A. V. Chandewar
Medicinal plants contain the bioactive compounds which are utilized in old as well as current remedy, unorganized substances and herbal medicines has recently received major attentiveness because of wide range of functions. Although there are modern treatments available everywhere, interest in and uses of herbal remedies have grown significantly in recent years. Seeds, berries, roots, leaves, bark and flowers can all be utilized to make herbal medicine. Herbal medications can be created in the form of an ointment in addition to various dosage forms. A viscous semisolid mixture known as an ointment is applied topically to a range of bodily surfaces. The objective of the existing work is to create and assess the ointment containing an extract of Butea monosperma (Lam.) leaves. The ethanolic extracts were ready by utilizing maceration technique. Phytochemical screening also done. Ointment base were prepared and preparation of ointment was completed by including the decoction in the base through fusion technique and formulation were evaluated for color, odour, pH, spreadability, consistency, diffusion study, solubility and wash ability.
药用植物含有生物活性化合物,用于古老和当前的药物,无组织物质和草药由于其广泛的功能,最近受到了极大的关注。尽管现代疗法随处可见,但近年来,人们对草药的兴趣和使用也有了显著增长。种子、浆果、根、叶、树皮和花都可以用来制作草药。除了各种剂型外,草药还可以制成药膏的形式。一种称为软膏的粘性半固体混合物被局部应用于一系列身体表面。现有工作的目的是创建和评估软膏含有提取物的Butea monoosperma (Lam.)叶。采用浸渍法制备乙醇提取物。植物化学筛选也完成了。制备软膏基质,通过融合技术将汤剂加入到软膏基质中,完成软膏的制备,并对配方进行颜色、气味、pH、涂抹性、稠度、扩散研究、溶解度和洗涤能力等评价。
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引用次数: 0
A Review on Inflammation and its Pharmacotherapy 炎症及其药物治疗研究进展
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00036
Monika G. Shinde, Kaufiya D. Sayyad, Ganesh V. Swami, Priti B. Savant, Pooja R. Yalmar, Swati T. Mane
Inflammation underlies a wide variety of physiological and pathological processes. The classic instigators of inflammation infection and tissue injury are at one end of a large range of adverse conditions that induce inflammation, and they trigger the recruitment of leukocytes and plasma proteins to the affected tissue site. Tissue stress or malfunction similarly induces an adaptive response, which is referred to here as Para-inflammation. This response relies mainly on tissue resident macrophages and is intermediate between the basal homeostatic state and a classic inflammatory response. Para-inflammation is probably responsible for the chronic inflammatory conditions that are associated with modern human diseases.
炎症是多种生理和病理过程的基础。炎症感染和组织损伤的经典诱因是一系列诱发炎症的不利条件的一端,它们触发白细胞和血浆蛋白向受影响的组织部位募集。组织压力或功能障碍同样会引起适应性反应,这里称为副炎症。这种反应主要依赖于组织内巨噬细胞,介于基础稳态和典型炎症反应之间。副炎症可能是导致与现代人类疾病相关的慢性炎症的原因。
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引用次数: 0
Formulation and Evaluation of Simvastatin Nanoparticles 辛伐他汀纳米颗粒的制备及评价
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00033
Nirmala D, K Sai Bhavani, M Sudhakar
Present study was aimed to formulation and evaluation of Simvastatin nanoparticles. Simvastatin nanoparticles were prepared by High pressure homogenization method by using lipid (Glyceryl Monostearate), polymer (Chitosan, Sodium Alginate) and surfactant (Tween 80) in the formulation. The prepared nanoparticles were evaluated for particle size, zetapotential, entrapment efficiency, drug excipients compatability studies by FTIR, scanning electron microscopy and invitro release studies. Among all the formulations, The formulation F8 showed particle size 97.47nm, PDI as 0.333, zeta potential -30.60mV and % Entrapment efficiency 85.69%, FTIR studies shown that drug was compatable with excipients, Scanning electron microscopy results shown that particles in the formulation shows moderately spherical in shape and drug release maximum 97.28%. So, formulations F8 showed better sustain the drug release for 12hrs period of time as compared to other prepared formulations, hence drug release kinetics was applied for F8 formulation. Drug release kinetic studies it showed that optimized formulation F8 showed zero order with non-fickian mechanism.
本研究旨在辛伐他汀纳米颗粒的制备和评价。以脂质(单硬脂酸甘油酯)、聚合物(壳聚糖、海藻酸钠)和表面活性剂(吐温80)为原料,采用高压均质法制备辛伐他汀纳米颗粒。采用红外光谱(FTIR)、扫描电镜(sem)和体外释放实验对制备的纳米颗粒的粒径、载势、包封效率、药物赋形剂相容性进行了评价。其中,配方F8的粒径为97.47nm, PDI为0.333,zeta电位为-30.60mV,包封效率为85.69%,FTIR研究表明药物与辅料相容性较好,扫描电镜结果显示该配方颗粒呈中等球形,释药率最高为97.28%。因此,与其他制剂相比,F8制剂具有较好的12小时缓释效果,因此对F8制剂进行了药物释放动力学研究。药物释放动力学研究表明,优化后的F8为零级,无动力学机制。
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引用次数: 0
The use of Artificial Intelligence in Pharmacy 人工智能在药学中的应用
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00041
Sidhartha Jyoti Bora, Runa Chakravorty, Payal Das Gupta
As the use of technology can save time and money thereby providing the aid to the pharma sector. Artificial Intelligence is a branch of computer science which deals with the problem solving by the aid of symbolized programming. AI has evolved into a science of problems solving with enormous applications in business, health care and engineering. This article provides insight of the AI used in drug discovery, various tools of AI, AI’s importance in global pharma pricing & market access debates, Application of AI in pharma.
由于使用技术可以节省时间和金钱,从而为制药部门提供援助。人工智能是计算机科学的一个分支,它通过符号化编程来解决问题。人工智能已经发展成为一门解决问题的科学,在商业、医疗保健和工程领域有着广泛的应用。本文提供了人工智能在药物发现中的应用,人工智能的各种工具,人工智能在全球药品定价中的重要性。市场准入辩论,人工智能在制药行业的应用。
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引用次数: 0
Basics and Recent Advances in Peptide and Protein Drug Delivery 肽和蛋白质药物传递的基础和最新进展
Pub Date : 2023-08-26 DOI: 10.52711/2231-5713.2023.00037
S.D. Mankar, Bhagyashri S. Jadhav, Awantika N. Kale
While the peptide and protein therapeutic market has developed significantly in the past decades, delivery has limited their use. Despite the fact oral delivery is preferred, most are currently delivered intravenously or subcutaneously due to degradation and limited absorption in the gastrointestinal tract, absorption enhancers, enzyme inhibitors, carrier systems and stability enhancers are being studied to make easier oral peptide delivery. As well, transdermal peptide delivery avoids the issues of the gastrointestinal tract, but also faces absorption limitations. Due to proteases, opsonisation and agglutination, free peptides are not systemically stable without modifications. This review discusses oral and transdermal peptide drug delivery, focusing on barriers and solutions to absorption and stability issues. Methods to increase systemic stability and site-specific delivery are also discussed.
虽然肽和蛋白质治疗市场在过去几十年中有了显著的发展,但递送限制了它们的使用。尽管口服给药是首选,但由于降解和胃肠道吸收有限,目前大多数是静脉或皮下给药,吸收促进剂、酶抑制剂、载体系统和稳定性增强剂正在研究中,以使口服肽递送更容易。同样,经皮肽递送避免了胃肠道的问题,但也面临吸收限制。由于蛋白酶、调理和凝集作用,游离肽在没有修饰的情况下不是系统稳定的。本文综述了口服和透皮多肽给药,重点讨论了吸收和稳定性问题的障碍和解决方案。还讨论了增加系统稳定性和特定部位递送的方法。
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引用次数: 11
期刊
Asian Journal of Pharmacy and Technology
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