The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment DOI
Md Jasim Uddin, Amol D. Gholap, Tahseen Khan

et al.

Journal of Biomedical Nanotechnology, Journal Year: 2024, Volume and Issue: 20(12), P. 1759 - 1790

Published: Dec. 1, 2024

The COVID-19 pandemic has thrusted the world into a public health crisis, necessitating relentless pursuit of effective nanotechnological treatments alongside vaccination efforts. Coronavirus 2 (SARS-CoV-2, virus that causes COVID-19) can persist in blood and tissue for over year, causing long associated risks. As COVID continues to harm people worldwide, it is clear there are numerous vastly different ways which patients respond same SARS-CoV-2 virus, requiring personalized drug approach. In repurposing drugs COVID-19, silico methods, driven by computational simulations, have proven instrumental. harnessing power machine learning (ML), subset artificial intelligence (AI) tools, vast datasets existing diseases be efficiently analyzed choose right treatment. Significantly, this approach not only cost-effective but also expeditious, offering quicker more economical avenue than traditional discovery processes. study SARS-CoV-2, ML an approach, especially identifying targets potential therapeutic development Because models handle large, complex with ease, they powerful tools studying proteomic genetic data viruses. By discovering relationships data, help prioritize or genomic areas crucial viral replication, entry, evasion host barricades. This process lead identification possible targets. literature review article delves innovative using AI, 3D bioprinting (3DBP) battle COVID-19. provides detailed investigation targets, role AI various aspects management, integration 3DBP creating vitro agents precisely fabricate structures at nanoscale. doing so, highlights important treat today any future.

Language: Английский

Multi-therapeutic potential of flavonoids as an essential component in nutraceuticals for the treatment and management of human diseases DOI Creative Commons
Stanley I.R. Okoduwa, Ibrahim Abdulwaliyu, Bernard E. Igiri

et al.

Phytomedicine Plus, Journal Year: 2024, Volume and Issue: 4(2), P. 100558 - 100558

Published: March 29, 2024

Diseases are one of the factors affecting human and national development in all its ramifications. Some diseases that affect humans usually difficult to manage or treat using conventional medications. Fortunately, nature provides man with many plants endowed medicinal properties. The properties due presence active metabolites, including flavonoids, have been shown multi-therapeutic Therefore, purpose this study was provide information on potencies flavonoids against diseases. Information within scope sourced from scientific databases such as Google Scholar, African Journals Online, Scopus, MEDLINE, PubMed, well non-indexed literature. biological function 27 distinct medical conditions—both communicable non-communicable—was documented. way work 10 different cancer types, 4 neglected tropical 14 health conditions clarified. Flavonoids were also hepatoprotective antioxidant Based findings, therapeutic use treatment and/or management a wide range illnesses, asthma, cancer, dementia, diabetes, glaucoma, hepatitis, malaria, several other conditions. provided paper could help direct future research two more an individual.

Language: Английский

Citations

14
Artificial intelligence for drug repurposing against infectious diseases DOI Creative Commons
Anuradha Singh

Artificial Intelligence Chemistry, Journal Year: 2024, Volume and Issue: 2(2), P. 100071 - 100071

Published: June 12, 2024

Traditional drug discovery struggles to keep pace with the ever-evolving threat of infectious diseases. New viruses and antibiotic-resistant bacteria, all demand rapid solutions. Artificial Intelligence (AI) offers a promising path forward through accelerated repurposing. AI allows researchers analyze massive datasets, revealing hidden connections between existing drugs, disease targets, potential treatments. This approach boasts several advantages. First, repurposing drugs leverages established safety data reduces development time costs. Second, can broaden search for effective therapies by identifying unexpected new targets. Finally, help mitigate limitations predicting minimizing side effects, optimizing repurposing, navigating intellectual property hurdles. The article explores specific strategies like virtual screening, target identification, structure base design natural language processing. Real-world examples highlight AI-driven in discovering treatments

Language: Английский

Citations

11
Antiparasitic and Antifungal Activities of Cetyl-Maritima, a New N-Cetyl-Modified Maritima Derivative DOI Creative Commons
Ibrahim S. Al Nasr, Jingyi Ma, Tariq A. Khan

et al.

Antibiotics, Journal Year: 2025, Volume and Issue: 14(3), P. 321 - 321

Published: March 19, 2025

Background/Objectives: New drugs are urgently needed for the treatment of neglected tropical diseases including leishmaniasis and eumycetoma, as well globally occurring parasitic such toxoplasmosis. Fragrances, both natural synthetic, were shown to be a rich source development new anti-infectives warrant deeper investigations. Exemplarily, we synthetically optimized fragrance 4-(4,8-dimethyl-3,7-nonadienyl)-pyridine, a.k.a. Maritima, pyridine derivative with marine odor. Methods: A cationic N-cetyl-modified Maritima (dubbed Cetyl-Maritima), obtained by alkylation was tested its activity against Madurella mycetomatis (M. mycetomatis) fungi, Toxoplasma gondii (T. gondii) Leishmania major (L. major) protozoal parasites. Results: Cetyl-Maritima found more strongly antifungal than parent known antibiotic cetylpyridinium salt. also showed similar T. parasites and, most notably, exhibited sub-micromolar L. amastigotes. Conclusions: The considerable antileishmanial might lead potent cost-effective drug candidate therapy other infectious caused kinetoplastid

Language: Английский

Citations

0
Participatory development of Indonesia’s national action plan for zero leprosy: strategies and interventions DOI Creative Commons

Perigrinus Hermin Sebong,

Astri Ferdiana,

Florisma Arista Riti Tegu

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 10, 2025

Leprosy remains a significant public health problem in Indonesia, with 14,000-15,000 new cases reported each year, indicating ongoing transmission. In response to the challenges, country needs strategic approach achieve zero leprosy by 2030 through creating national action plan. To describe development of plan for its strategies, and key interventions. The process NAP-L consisted three phases: (1) preparatory phase involving 78 participants five online group discussions (OGD) document reviews gain an understanding current situation control; (2) implementation phase, eight workshops representatives from 14 provincial offices, six district stakeholders discuss stakeholder mapping components plan; (3) finalization produce complete document. All OGDs were audio-recorded. Verbatim transcripts produced OGDs, thematic qualitative analysis was carried out identify codes categories barriers control. Each workshop's summary documented. Barriers control categorized into program inputs, demand supply perspectives, proposed improvements. Four innovative strategies formulated. were: (i) mobilizing various community resources (community); (ii) increasing capacity healthcare system prevention, early detection, diagnosis, management comprehensive quality manner (acceleration); (iii) improving integration coordination public-private providers (integration); (iv) strengthening commitment, policy, (commitment, management). Twenty-one interventions measurable outcomes proposed. developed participatory multiple cross-sectors, private sectors, providers, leaders, persons affected leprosy. ensure successful implementation, monitoring evaluation framework should be established keep track progress local governments adopt their policies.

Language: Английский

Citations

0
Evaluation of the Toxicity Profile and Central Nervous System Activities of Glue (Adhesive) Inhalation in Wistar Rats DOI Creative Commons
Abdulgafar Olayiwola Jimoh, Shuaibu Abdullahi Hudu,

Onyinye Emmanuella Ibeabuchi

et al.

Journal of Toxicology, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Background: Glue inhalation is a common unconventional substance of abuse, and it contains neurotoxic volatile solvents. We examined the toxicity profile central nervous system (CNS) activities glue in Wistar rats. Methods: Acute was investigated, subacute studied using 24 male rats at graded concentrations air, 2, 4 8 mL (n = 6/group) for 28 days. Blood samples were collected biochemical haematological evaluations, vital organs (lung, liver, kidney, heart, brain eye) used histological analysis. Behavioural studies carried out an elevated plus maze, hole board test, open-field tail suspension test forced swim test. Dependence abstinence effects also evaluated. Results: The lethal dose (LD50) inhalational 14.14 mL. significantly increased liver function parameters such as TB, DB, ALP, ALT, TP electrolyte levels (K+ HCO3) but reduced cholesterol exposed had significant anxiolytic depressant on Histological analysis revealed lung tissue abnormalities subconjunctival inflammation eye Conclusion: study therefore suggests that has

Language: Английский

Citations

0
Effects of cash transfer and incentive programs on service utilization and treatment outcomes related to neglected tropical diseases and their impact on health and nutrition in low and middle-income countries: a protocol for a systematic review (Preprint) DOI
S. M. Tafsir Hasan, Radhika Dayal, Amena Al Nishan

et al.

Published: May 4, 2025

BACKGROUND Although there has been a general decrease in the global burden on Neglected tropical diseases (NTDs), progress is not track to meet Sustainable Development Goals 2030. Evidence suggests positive effect of conditional cash transfer programs controlling NTDs. However, it be evaluated whether other financial incentive exert similar effects NTD-related service utilization and treatment outcomes and, turn, health nutrition low middle-income countries (LMICs). OBJECTIVE This proposed systematic review aims evaluate LMICs, examine how covariates, program design, implementation plan, design influence these outcomes, nutritional status LMICs. METHODS will follow PICOS (Population, Interventions, Comparators, Outcomes, Studies) framework. The population this restricted adult children all ages For intervention selection, we include any or policies addressing socioeconomic disadvantage through provision transfers programs, including but limited in-kind transfers, food vouchers, free medicine discount coupons, micro-credit households individuals. Eligible comparators who did receive intervention, recipients interventions from before populations areas exposed different levels coverage. primary interest related 21 NTDs disease groups prioritized by WHO. Secondary variables outcomes. RESULTS To provide comprehensive unbiased assessment current state knowledge conducting crucial. CONCLUSIONS comprehensive, evidence considering strengths limitations existing Additionally, also explore type CLINICALTRIAL

Language: Английский

Citations

0
Characterization and Evaluation of Microwave-Synthesized Nanostructured Lipid Carriers for Enhanced Amphotericin B Efficacy Against Leishmania donovani: A Novel Therapeutic Paradigm DOI
Sunidhi Lohan, Meenakshi Bhatia

BioNanoScience, Journal Year: 2024, Volume and Issue: 14(3), P. 2782 - 2800

Published: Aug. 1, 2024

Language: Английский

Citations

0
Uncovering the Mechanism of Action of Antiprotozoal Agents: A Survey on Photoaffinity Labeling Strategy DOI Creative Commons
Alessandro Giraudo, Cristiano Bolchi, Marco Pallavicini

et al.

Pharmaceuticals, Journal Year: 2024, Volume and Issue: 18(1), P. 28 - 28

Published: Dec. 28, 2024

Plasmodium, Leishmania, and Trypanosoma parasites are responsible for infectious diseases threatening millions of people worldwide. Despite more recent efforts devoted to the search new antiprotozoal agents, efficacy, safety, resistance issues still hinder development suited therapeutic options. The lack robustly validated targets complexity parasite's have made phenotypic screening a preferential drug discovery strategy identification chemical entities. However, via this approach, no information on biological target(s) mechanisms action compounds provided. Among target deconvolution strategies useful fill gap, photoaffinity labeling (PAL) has emerged as one most enable investigation in complex cellular environment. More recently, PAL been exploited unravel molecular basis bioactive compounds' function live parasites, allowing elucidation mechanism both approved drugs Besides highlighting potential targets, can provide valuable efficacy liabilities small molecules at level, which could be greatly facilitate rational optimization terms potency safety. In review, we will report studies that leveraged disclose phenotypically active targeting kinetoplastid (i.e., human African trypanosomiasis, leishmaniasis, Chagas disease) malaria. Moreover, comment perspectives innovative approach aiding drugs.

Language: Английский

Citations

0
The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment DOI
Md Jasim Uddin, Amol D. Gholap, Tahseen Khan

et al.

Journal of Biomedical Nanotechnology, Journal Year: 2024, Volume and Issue: 20(12), P. 1759 - 1790

Published: Dec. 1, 2024

The COVID-19 pandemic has thrusted the world into a public health crisis, necessitating relentless pursuit of effective nanotechnological treatments alongside vaccination efforts. Coronavirus 2 (SARS-CoV-2, virus that causes COVID-19) can persist in blood and tissue for over year, causing long associated risks. As COVID continues to harm people worldwide, it is clear there are numerous vastly different ways which patients respond same SARS-CoV-2 virus, requiring personalized drug approach. In repurposing drugs COVID-19, silico methods, driven by computational simulations, have proven instrumental. harnessing power machine learning (ML), subset artificial intelligence (AI) tools, vast datasets existing diseases be efficiently analyzed choose right treatment. Significantly, this approach not only cost-effective but also expeditious, offering quicker more economical avenue than traditional discovery processes. study SARS-CoV-2, ML an approach, especially identifying targets potential therapeutic development Because models handle large, complex with ease, they powerful tools studying proteomic genetic data viruses. By discovering relationships data, help prioritize or genomic areas crucial viral replication, entry, evasion host barricades. This process lead identification possible targets. literature review article delves innovative using AI, 3D bioprinting (3DBP) battle COVID-19. provides detailed investigation targets, role AI various aspects management, integration 3DBP creating vitro agents precisely fabricate structures at nanoscale. doing so, highlights important treat today any future.

Language: Английский

Citations

0