Search Results (598)

Background/Objectives: Giardia lamblia is an intestinal protozoan responsible for giardiasis, a globally prevalent parasitic disease. Current therapeutic options, including nitroimidazoles and benzimidazoles, have increasing treatment failures due to resistance, adverse reactions, and patient non-compliance. Drug repositioning offers a cost-effective strategy for identifying new antigiardial agents. This study aimed to evaluate the in vitro antiparasitic effects and possible mechanisms of action of the tricyclic antidepressant imipramine against G. lamblia trophozoites. Methods: Trophozoites were exposed to increasing concentrations of imipramine (25–125 µM). Growth inhibition and adhesion capacity were quantified using cell counts. Apoptosis- or necrosis-like death was evaluated through Annexin V/PI staining. The expression and distribution of α-tubulin and lipid rafts were analyzed by immunofluorescence microscopy. Finally, the effect of the drug on encystment efficiency was assessed in vitro. Results: Imipramine inhibited G. lamblia trophozoite growth in a concentration-dependent manner, with an IC₅₀ of 42.31 µM at 48 h. The drug significantly reduced adhesion capacity (>90% at 125 µM) and induced apoptosis-like cell death, as evidenced by Annexin V positivity. Immunofluorescence revealed disruption of α-tubulin distribution and lipid raft organization, accompanied by morphological rounding. Moreover, encystment efficiency decreased in a concentration-dependent mode, suggesting interference in the differentiation process. Conclusions: This investigation describes, for the first time, the antigiardial potential of imipramine, which alters cytoskeletal organization, membrane microdomains, and differentiation pathways, ultimately leading to apoptosis-like cell death. These findings position this compound as a promising lead structure and support further exploration of tricyclic antidepressants as scaffolds for the development and optimization of new antiparasitic agents, as well as future studies on their molecular targets and in vivo efficacy. Full article

Gel treatments have been widely applied to control water production in oil and gas reservoirs. However, for water shutoff in dense gas reservoirs, most gel-based treatments focus on individual wells rather than the entire reservoir, exhibiting limited treatment depth, poor durability, and inadequate repeatability Notably, formation damage is a primary consideration in treatment design—most dense gas reservoirs have a permeability of less than 1 mD, making them highly susceptible to damage by formation water, let alone viscous polymer gels. Constrained by well completion methods, gelant can only be bullheaded into deep gas wells in most scenarios. Due to the poor gas/water selective plugging capability of conventional gels, the injected gelant tends to enter both gas and water zones, simultaneously plugging fluid flow in both. Although several techniques have been developed to re-establish gas flow paths post-treatment, treating gas-producing zones remains risky when no effective barrier exists between water and gas strata. Additionally, most water/gas selective plugging materials lack sufficient thermal stability under high-temperature and high-salinity (HTHS) gas reservoir conditions, and their injectivity and field feasibility still require further optimization. To address these challenges, treatment design should be optimized using non-selective gel materials, shifting the focus from directly preventing formation water invasion into individual wells to mitigating or slowing water invasion across the entire gas reservoir. This approach can be achieved by placing large-volume gels along major water flow paths via fully watered-out wells located at structurally lower positions. Furthermore, the drainage capacity of these wells can be preserved by displacing the gel slug to the far-wellbore region, thereby dissipating water-driven energy. This study evaluates the viability of placing gels in fully watered-out wells at structurally lower positions in an edge-water drive gas reservoir to slow water invasion into structurally higher production wells interconnected via numerous microfractures and high-permeability streaks. The gel system primarily comprises polyethyleneimine (PEI), a terpolymer, and nanofibers. Key properties of the gel system are as follows: Static gelation time: 6 h; Elastic modulus of fully crosslinked gel: 8.6 Pa; Thermal stability: Stable in formation water at 130 °C for over 3 months; Injectivity: Easily placed in a 219 mD rock matrix with an injection pressure gradient of 0.8 MPa/m at an injection rate of 1 mL/min; and Plugging performance: Excellent sealing effect on microfractures, with a water breakthrough pressure gradient of 2.25 MPa/m in 0.1 mm fractures. During field implementation, cyclic gelant injections combined with over-displacement techniques were employed to push the gel slug deep into the reservoir while maintaining well drainage capacity. The total volumes of injected fluid and gelant were 2865 m³ and 1400 m³, respectively. Production data and tracer test results from adjacent wells confirmed that the water invasion rate was successfully reduced from 59 m/d to 35 m/d. The pilot test results validate that placing gels in fully watered-out wells at structurally lower positions is a viable strategy to protect the production of gas wells at structurally higher positions. Full article

Drug repositioning, also known as drug repurposing, represents a cost-effective and time-efficient approach to accelerate the development of novel therapies for colorectal cancer (CRC), the third most common cancer worldwide, with an estimated two million new cases and nearly one million deaths annually. This review aims to critically evaluate how existing non-oncologic drugs can be repositioned to exploit key metabolic vulnerabilities of CRC cells. Targeting cancer cell metabolism offers a unique therapeutic advantage, as it disrupts the bioenergetic and biosynthetic processes that sustain tumor growth, adaptation, and resistance to therapy. Specifically, we examine the mechanisms through which antidiabetic, cardiovascular, anti-inflammatory, antidepressant, and anthelmintic agents interfere with glycolysis, oxidative phosphorylation (OxPhos), and mitochondrial bioenergetics—metabolic circuits central to CRC progression and recurrence. By integrating recent mechanistic, preclinical, and clinical findings, we highlight how these repurposed drugs converge on major metabolic regulators, including the AMPK/mTOR signaling pathways, and how they can potentiate the efficacy of standard chemotherapies and immunotherapies. Furthermore, we discuss the translational challenges that must be addressed to move these compounds into clinical use. Collectively, this review underscores the therapeutic potential of targeting CRC metabolism through drug repositioning as a promising avenue toward more effective and personalized treatment strategies. Full article

The cannabinoid receptor type 2 (CB₂) is increasingly recognized as a crucial regulator of neuroimmune balance in the brain. In addition to its well-established role in immunity, the CB₂ receptor has been identified in specific populations of neurons and glial cells throughout various brain regions, and its expression is dynamically increased during inflammatory and neuropathological conditions, positioning it as a potential non-psychoactive target for modifying neurological diseases. The expression of the CB₂ gene (CNR2) is finely tuned by epigenetic processes, including promoter CpG methylation, histone modifications, and non-coding RNAs, which regulate receptor availability and signaling preferences in response to stress, inflammation, and environmental factors. CB₂ signaling interacts with TRP channels (such as TRPV1), nuclear receptors (PPARγ), and orphan G Protein-Coupled Receptors (GPCRs, including GPR55 and GPR18) within the endocannabinoidome (eCBome), influencing microglial characteristics, cytokine production, and synaptic activity. We review how these interconnected mechanisms affect neurodegenerative and neuropsychiatric disorders, underscore the species- and cell-type-specificities that pose challenges for translation, and explore emerging strategies, including selective agonists, positive allosteric modulators, and biased ligands, that leverage the signaling adaptability of the CB₂ receptor while reducing central effects mediated by the CB₁ receptor. This focus on the neuro-centric perspective repositions the CB₂ receptor as an epigenetically informed, context-dependent hub within the eCBome, making it a promising candidate for precision therapies in conditions featuring neuroinflammation. Full article

Despite intensified global efforts to accelerate the renewable energy (RE) transition, the influence of artificial intelligence (AI) and energy security risk (ESR) on RE adoption remains underexplored in the United States. This study examines the nonlinear and time-varying effects of AI, ESR, financial development (FD), and economic growth (GDP) on RE consumption from 1990Q1 to 2020Q4. Annual data were converted to quarterly frequency using the quadratic match sum method, and the Wavelet Cross Quantile Regression (WCQR) technique was employed to capture dynamic relationships across quantiles and time scales. The results show that AI and FD consistently stimulate RE adoption, while ESR shifts from a negative short-term influence to a positive long-term effect. Similarly, GDP initially reduces RE consumption but becomes supportive over longer horizons. This study offers new contributions by providing the first empirical evidence on the role of AI in shaping the U.S. renewable energy transition and by jointly examining technological, financial development, and energy security determinants within a unified framework. Policy implications suggest prioritizing investment in AI-based grid and storage systems, expanding green financing tools to lower capital barriers, and adopting long-term energy security strategies to sustain progress toward a low-carbon energy system. Full article

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by a lack of targetable receptors, leading to limited treatment options and a critical need for novel therapeutic strategies. This study aimed to evaluate the potential of azelastine, a clinically approved H1-antihistamine, for drug repositioning against TNBC and to elucidate its underlying HRH1-independent mechanism of action. Cell viability assays (CCK-8) were performed on TNBC cell lines (MDA-MB-231 and BT-549) following treatment with azelastine and its major metabolite, desmethyl azelastine. After observing ambiguous clinical associations between HRH1 expression and patient prognosis, HRH1 dependency was assessed through histamine stimulation and HRH1 knockdown (siRNA). Subsequently, the role of ADP-ribosylation factor 1 (ARF1), found to be overexpressed in TNBC and linked to poor prognosis, was investigated using ARF1 knockdown (siRNA), co-treatment with the Golgi-specific brefeldin A-resistance guanine nucleotide exchange factor 1 (GBF1) inhibitor golgicide A (GCA), and co-treatment with the Drp1 inhibitor M-divi 1. Azelastine and desmethyl azelastine potently reduced MDA-MB-231 cell viability in a dose- and time-dependent manner, achieving cell survivals of 61.3 ± 6.1% (30 µM) and 34.9 ± 3.7% (50 µM) for azelastine, and 52.4 ± 12.5% (30 µM) for desmethyl azelastine, respectively, after 72 h, with an IC₅₀ of 35.93 µM determined for azelastine in MDA-MB-231 cells. Additionally, azelastine significantly reduced the viability of BT-549 cells. Bioinformatic analysis of clinical datasets revealed HRH1 downregulation in tumors and, functionally, neither histamine stimulation nor HRH1 knockdown mediated azelastine cytotoxicity in cell culture. Importantly, ARF1 expression was significantly upregulated in TNBC and associated with poor prognosis. Co-treatment with GCA, preventing ARF1 activation, restored viability to near-control levels, supporting dependence on the GBF1–ARF1 activation axis of azelastine, whereas the Dynamic-related protein 1 (Drp1) inhibitor M-divi 1 not only partially rescued CCK-8-based cell viability but also normalized azelastine-induced loss of MitoTracker™ Red CMXRos signal and partially preserved (4′,6-diamidino-2-phenylindole) DAPI-based cell density, indicating Drp1-dependent mitochondrial dysfunction. Furthermore, azelastine selectively reduced p-ERK phosphorylation in the cell signaling pathway. Azelastine exerts potent anticancer effects in TNBC cells via an HRH1-independent, ARF1-dependent mechanism that attenuates the Extracellular signal-regulated kinase (ERK)–Drp1 axis, and induces Drp1-dependent mitochondrial dysfunction, independent of its canonical HRH1 receptor function. This ARF1-dependent mechanism provides strong scientific rationale for the drug repositioning of azelastine as an effective therapeutic agent for ARF1-driven TNBC. Full article

Background and Clinical Significance: Tyrosine kinase inhibitors (TKIs) have transformed Philadelphia chromosome-positive chronic myeloid leukemia (Ph+ CML) into a largely manageable chronic disease. However, off-target toxicities are increasingly recognized; rarer complications such as bone marrow edema (BME) remain underreported. BME is a radiological syndrome characterized by excess intramedullary fluid on fat-suppressed T2/STIR magnetic resonance imaging sequences and may progress to irreversible osteochondral damage if unrecognized. We report a case series of TKI-associated BME and propose a practical diagnostic-therapeutic framework. Case Presentation: We describe three patients with Ph+ CML who developed acute, MRI-confirmed BME of the lower limb during TKI therapy. Case 1 developed unilateral then bilateral knee BME, temporally associated first with dasatinib and subsequently with imatinib; symptoms improved after TKI interruption, bisphosphonate therapy, and supportive measures, and did not recur after switching to bosutinib. Case 2 presented with proximal femoral BME during long-term imatinib; imatinib was stopped, intravenous neridronate administered, and bosutinib initiated with clinical recovery and later near-complete radiological resolution. Case 3 experienced multifocal foot and ankle BME during imatinib; symptoms resolved after drug discontinuation and bisphosphonate therapy, and disease control was re-established with bosutinib without recurrence of BME. All patients underwent molecular monitoring and mutational analysis to guide safe therapeutic switching. Discussion: Temporal association across cases and the differential kinase profiles of implicated drugs suggest PDGFR (and to a lesser extent, c-KIT) inhibition as a plausible mechanistic driver of TKI-associated BME. PDGFR-β blockade may impair pericyte-mediated microvascular integrity, increase interstitial fluid extravasation, and alter osteoblast/osteoclast coupling, promoting intramedullary edema. Management combining MRI confirmation, temporary TKI suspension, bone-directed therapy (bisphosphonates, vitamin D/calcium), symptomatic care, and, when required, therapeutic switching to a PDGFR-sparing agent (bosutinib) led to clinical recovery and preservation of leukemia control in our series. Conclusions: BME is an underrecognized, potentially disabling, TKI-related adverse event in CML. Prompt recognition with targeted MRI and a multidisciplinary, stepwise approach that includes temporary TKI adjustment, bone-directed therapy, and consideration of PDGFR-sparing alternatives can mitigate morbidity while maintaining disease control. Prospective studies are needed to define incidence, risk factors, optimal prevention, and management strategies. Full article

This study analyzes the lifetime characteristics and degradation behavior of lithium-ion batteries under increasing charge–discharge cycles. The experiment focused on RE (Real Part), IM (Imaginary Part), and DCIR Degradation% (Direct Current Internal Resistance Degradation). The RE increased from 0.0023 Ω at the initial state to 0.00293 Ω after 1200 cycles, representing a 28% rise, with a sharp acceleration after 400 cycles due to interfacial resistance buildup and electrolyte decomposition. The IM shifted from negative to positive values, indicating delayed electrochemical reactions and enhanced inductive behavior. A pronounced transition occurred between 400 and 800 cycles, confirming this range as a critical phase of performance degradation. Correlation analysis between SoH (State of Health) and DCIR Degradation% showed that while SoH decreased slightly from 100% to 87.3%, DCIR Degradation% increased significantly to 137.8%, indicating that internal resistance growth is the dominant cause of aging. When SoH falls below 70%, the battery reaches its effective end-of-life, accompanied by severe heat generation and power loss. In conclusion, the combined analysis of RE, IM, and DCIR Degradation% demonstrates that accumulated internal resistance is the key factor determining battery lifetime. Stabilizing the SEI layer, reinforcing electrode structures, and improving electrolyte stability are essential strategies for extending battery durability. Full article

The integration of Artificial Intelligence into educational environments is reshaping the way digital resources support teaching and learning, which reinforces the need to understand how prompting strategies can enhance engagement, autonomy, and personalisation. This study examines the pedagogical role of prompt engineering in the transformation of static digital materials into adaptive and interactive learning experiences aligned with the principles of Education 4.0. A systematic literature review was conducted between 2023 and 2025 following the PRISMA protocol, comprising a sample of 166 studies retrieved from the ACM Digital Library and Scopus databases. The search strategy employed the keywords “artificial intelligence” OR “intelligent tutoring systems” AND “e-learning” OR “digital education” AND “personalised learning” OR “academic performance” OR “student engagement” OR “motivation” OR “ethical issues” OR “student autonomy” OR “limitations of AI”. The analysis identified consistent improvements in academic performance, motivation, and student engagement, although persistent limitations remain related to technical integration, ethical risks, and limited pedagogical alignment. Building on these findings, the article proposes a structured prompt engineering methodology that integrates interdependent components including role definition, audience specification, feedback style, contextual framing, guided reasoning, operational rules, and output format. A practical illustration shows that embedding prompts into digital learning resources, exemplified through PDF-based exercises, enables AI agents to support personalised and adaptive study sessions. The study concludes that systematic prompt design can reposition educational resources as intelligent, transparent, and pedagogically rigorous systems for knowledge construction. Full article

Background/Objectives: Monkeypox is endemic to the African continent and has recently garnered global attention due to reported outbreaks in non-endemic nations. No approved drug is available for non-severe cases, and some isolates gained resistance to approved antivirals. In this study, we employed a drug repositioning strategy to evaluate the efficacy of existing FDA-approved antiviral drugs if repurposed for use against emerging Monkeypox, representing a cost-effective method for identifying novel therapeutic interventions. Methods: Methodology including Egyptian virus strain isolation, propagation and titration followed by in vitro studies, molecular docking and molecular dynamics simulations combined with binding free energy were carried out. Twenty-three FDA-approved drugs, including Abacavir, Acyclovir, Amantadine, Chloroquine, Daclatasvir, Dolutegravir, Entecavir, Favipiravir, Hydroxychloroquine, Lamivudine, Molnupiravir, Nevirapine, Oseltamivir, Penciclovir, Remdesivir, Ribavirin, Sofosbuvir, Tenofovir, Valaciclovir, Valganciclovir, Velpatasvir, Zanamivir, and Zidovudine, were screened for potential anti-monkeypox activity in vitro. In silico studies were carried out against three monkeypox proteins, Thymidylate Kinase, A42R Profilin-Like Protein, and VACV D13, to identify their potential targets. Results: In vitro testing showed that two antiviral drugs are positive. The employed computational methods indicate that remdesivir demonstrated superior binding patterns with elevated scores and stable complexes throughout the simulation. Conclusions: Our findings showed that Remdesivir therapeutic compound is potent against the tested strain of MPXV, and exhibited a robust binding affinity for Thymidylate Kinase, A42R Profilin-Like Protein, and VACV D13 enzymes, and thus may potentially be utilized as antiviral for the treatment of monkeypox virus. Full article

Background/Objective: To outline strategies for the safe clinical use of orthodontic temporary anchorage devices (TADs) by analyzing papers that examine associated risks, complications, and approaches for their prevention and resolution. Methods: The research protocol used PubMed, Medline, and Scopus up to May 2024, focusing on controlled and randomized clinical trials aligned with the review objective. Fourteen studies were included; bias risk was assessed, key data extracted, and a descriptive analysis performed. Study quality and evidence strength were also evaluated. Results: TADs optimize anchorage control without relying on patient compliance. However, they carry risks and complications. TAD contact with the periodontal ligament or root without pulp involvement requires removal for spontaneous healing. If pulp is involved, the TAD should be removed and endodontic therapy performed. If anatomical structures are violated, TAD should be removed. If transient, spontaneous recovery occurs, but sometimes pharmacological treatment may be needed. A 2 mm gap between the TAD and surrounding structures can prevent damage. In the maxillary sinus, a less than 2 mm perforation of the Schneiderian membrane recovers spontaneously; wider perforations require TAD removal. Good oral hygiene and TAD abutments prevent soft tissue inflammation, which resolves with 0.2% chlorhexidine for 14 days. Unwanted forces can cause TAD fractures, requiring removal. Minor TAD mobility due to loss of primary stability can be maintained; significant instability requires repositioning. Conclusions: The use of TADs requires meticulous planning, radiological guidance, and monitoring to minimize risks and manage complications. With proper care, TADs improve orthodontic outcomes and patient satisfaction. Full article

Background: Facial retaining ligaments are pivotal in maintaining facial structure and are increasingly recognized as critical components in modern facelift procedures. Their age-related laxity contributes to facial sagging, jowling, and volume descent, necessitating a detailed understanding of their anatomy and function to achieve natural and lasting aesthetic outcomes. Despite advances in technique, there remains an ongoing debate regarding whether surgical preservation or release of these ligaments yields superior results. Methods: This narrative review analyzes peer-reviewed literature on various facelift techniques, focusing specifically on how each approach manages retaining ligaments. Techniques assessed include subcutaneous, SMAS, deep plane, composite, subperiosteal, and extended SMAS rhytidectomies, as well as more recent methods such as the MACS lift and PRESTO facelift. Anatomical variations and their surgical implications were evaluated, alongside aesthetic outcomes, recovery profiles, and complication risks. Results: Ligament-releasing techniques, such as the deep plane and extended SMAS facelifts, allow for greater tissue mobilization, improved repositioning of midfacial and cervical tissues. Conversely, ligament-preserving techniques, such as the MACS and PRESTO lifts, offer safer, less invasive, though with more limited correction in severe laxity. The review emphasizes that variability in ligament anatomy requires a patient-specific surgical plan to optimize results. Conclusions: The management of retaining ligaments remains a cornerstone of facial rejuvenation strategies. Surgical success hinges on a tailored approach, balancing the need for comprehensive lift with the preservation of facial identity and anatomical safety. Further clinical research and advancements in imaging and surgical technology are needed to refine technique selection and enhance long-term outcomes. Full article

The application of unmanned vehicles in civilian and military fields is increasingly widespread. Traditionally, unmanned vehicles primarily rely on Global Positioning Systems (GPSs) for positioning; however, GPS signals can be limited or completely lost in conditions such as building obstructions, indoor environments, or electronic interference. In addition, countries are actively developing GPS jamming and deception technologies for military applications, making precise positioning and navigation of unmanned vehicles in GPS-denied or constrained environments a critical issue that needs to be addressed. In this work, authors propose a method based on Visual–Inertial Odometry (VIO), integrating the extended Kalman filter (EKF), an Inertial Measurement Unit (IMU), optical flow, and feature matching to achieve drone localization in GPS-denied environments. The proposed method uses the heading angle and acceleration data obtained from the IMU as the state prediction for the EKF, and estimates relative displacement using optical flow. It further corrects the optical flow calculation errors through IMU rotation compensation, enhancing the robustness of visual odometry. Additionally, when re-selecting feature points for optical flow, it combines a KAZE feature matching technique for global position correction, reducing drift errors caused by long-duration flight. The authors also employ an adaptive noise adjustment strategy that dynamically adjusts the internal state and measurement noise matrices of the EKF based on the rate of change in heading angle and feature matching reliability, allowing the drone to maintain stable positioning in various flight conditions. According to the simulation results, the proposed method is able to effectively estimate the flight trajectory of drones without GPS. Compared to results that rely solely on optical flow or feature matching, it significantly reduces cumulative errors. This makes it suitable for urban environments, forest areas, and military applications where GPS signals are limited, providing a reliable solution for autonomous navigation and positioning of drones. Full article

Robotic arm-based antenna measurement systems offer the flexibility needed for advanced antenna measurement and diagnostics techniques but are typically limited by reach and sampling time. This work integrates two complementary contributions to overcome these constraints. First, a composite-plane range extension is introduced for a medium-size robot mounted on a mobile platform and monitored by an optical tracking system (OTS). Independent planar scans are acquired after manual repositioning of the robot and then accurately aligned and blended into a single, larger measurement plane, with positioning errors mitigated through a calibration process. Second, a localized sparse sampling strategy is proposed to accelerate planar near-field (PNF) measurements when only selected angular regions of the radiation pattern are required. The approach relies on reduced-order modeling and singular value decomposition (SVD) analysis to design non-redundant grids that preserve the degrees of freedom relevant to the truncated angular sector, thereby reducing both the number of samples and the scan area. Numerical examples for a general case and experimental validation in X-band demonstrate that the combined methodology extends the effective measurement aperture while significantly shortening acquisition time for narrow or tilted beams, enabling accurate and portable in situ characterization of complex modern antennas by means of cost-effective acquisition systems. Full article

Oral and oropharyngeal squamous cell carcinomas (OSCC and OPSCC), two major sub-types of Head and Neck cancer, remain associated with significant morbidity and exhibit poor prognosis, with limited response to conventional therapies in advanced stages. Recent therapeutic strategies have increasingly focused on molecular targets involved in tumor proliferation, angiogenesis, and immune evasion. This overview provides a concise synthesis of targeted therapies under investigation or already in clinical use, including monoclonal antibodies against epidermal growth factor receptor (EGFR) (e.g., cetuximab) and immune checkpoint inhibitors (e.g., nivolumab, pembrolizumab), as well as inhibitors of programmed cell death protein 1 (PD-1) and its ligand (PD-L1) or agents targeting angiogenic and intracellular signaling pathways such as VEGF and mTOR. Alongside these novel agents, growing interest surrounds the repurposing of established pharmacological agents which appear to modulate tumor-related inflammation, metabolic dysregulation, and epithelial-to-mesenchymal transition. Metformin and statins, for instance, have demonstrated anti-proliferative and pro-apoptotic effects in preclinical OSCC models. Notably, recent evidence suggests that regular use of nonsteroidal anti-inflammatory drugs (NSAIDs), including aspirin, may improve survival specifically in patients with PIK3CA-altered Head and Neck tumors, potentially through modulation of the COX-2/PGE2 axis. Although prospective evidence remains limited and somewhat heterogeneous, existing preclinical and observational studies suggest that these agents may improve survival and reduce treatment-related toxicity, further pointing to the relevance of molecular stratification in guiding future repurposing strategies. This article aims to map the current therapeutic landscape, highlighting both established molecular targets and emerging repositioned drugs in the management of OSCC and OPSCC. Full article