Praveen Kumar

BENGALURU: Wing Commander K Santosh Kumar (49) of the Indian Air Force (IAF) and his wife, a dentist, were attacked by a gang of six to seven miscreants, in a road rage case near Jalahalli.

Your AI project is probably not failing because of the technology. It is failing because your enterprise AI implementation strategy has no alignment with actual business goals.

Biofabrication and regenerative medicine are interdisciplinary research fields that are rapidly being developed due to the synthesis of materials science and biology with enhanced manufacturing to overcome drastic constraints of conventional healthcare solutions. Bio...

AI Development Company Artificial intelligence is no longer limited to experiments or future planning.

Alzheimer’s disease diagnosis using structural magnetic resonance imaging (MRI) remains challenging due to limited generalization across heterogeneous datasets, difficulty in distinguishing early stages such as early mild cognitive impairment (EMCI) and late mild cognitive impairment (LMCI), and the lack of clinically interpretable predictions. This work presents an explainable transfer learning domain-adaptive self-supervised transformer (ETDST) framework that integrates domain adaptation, self-supervised learning, and transformer-based modeling to enable consistent disease-stage classification. The framework learns stable representations from high-dimensional MRI data while addressing cross-dataset variability. Experimental evaluation on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset demonstrates consistent classification performance across multiple evaluation metrics, with stable behavior across folds. The results indicate improved sensitivity in identifying early-stage conditions and reliable discrimination across disease categories. In addition, the framework provides clinically aligned interpretations by linking model outputs with established neurodegenerative biomarkers, supporting transparent decision-making. These findings suggest that the proposed approach offers a reliable and interpretable solution for Alzheimer’s disease-stage classification with potential applicability in real-world clinical settings.

Sun damage is one of the biggest reasons behind premature aging, tanning, pigmentation, and dull skin. Yet most Indian men still skip sunscreen because they think it feels greasy or unnecessary.

The goal is to help teams identify wasted AWS spend without requiring invasive access. Current...

Crypto Token Development Role of NFTs in Modern crypto development

Background There is a paucity of data regarding the comparison of asparaginase activity, pharmacokinetics, pharmacodynamic outcomes, and safety of biosimilar native E.coli asparaginase (N-Asp) and biosimilar pegylated asparaginase (P-Asp) used in India. Methods A randomized, open-labeled, population pharmacokinetic (PopPK) and pharmacodynamic trial comparing the N-Asp (10,000 IU/m2) and P-Asp (1000 IU/m2) administered intramuscularly in children with newly diagnosed acute lymphoblastic leukemia. The primary endpoint was asparaginase activity on day 33 of the induction phase of chemotherapy. Population pharmacokinetic modeling was done after the first dose in both groups, and the models were simulated to assess for the subtherapeutic trough concentrations. Results Fourteen patients were randomized to each arm. The asparaginase activity of 434[interquartile range(IQR) 259, 629] IU/L was observed in the P-Asp compared (p—0.04) to the N-Asp group 64[IQR 27, 184] IU/L on day 33 of the induction phase of chemotherapy. The anti-asparaginase antibody formation, minimal residual disease, and safety were comparable between both groups. The interindividual variability of the population parameters in the PopPK model was higher with N-Asp than P-Asp. The subtherapeutic trough levels of asparaginase were observed more in the N-Asp group (9/14 in N-Asp vs. 0/14 in P-Asp, p < 0.01). Conclusion The asparaginase activity was higher with P-Asp at d33. P-Asp demonstrated less interindividual variability and a predictable kinetic profile, supporting its preferability over N-Asp for first-line management of ALL in the Indian pediatric population. While routine TDM for trough level monitoring may be less critical with P-Asp, TDM retains value to identify silent inactivation, differentiate hypersensitivity from infusion reactions, and confirm adequate activity in high-risk scenarios. In contrast, the higher variability of N-Asp strongly warrants the use of TDM. Clinical trial registration identification CTRI/2019/06/019520 registered on 04/June/2019.

Let $$X_r$$ X r denote the blow-up of the hyperelliptic surface X at r very general points. In this paper, we first provide a criterion for the ampleness of a line bundle on $$X_r$$ X r and compare it with existing results. We then study the multi-point Seshadri constants of ample line bundles on hyperelliptic surfaces X. Next, we compute single-point Seshadri constants on $$X_r$$ X r for specific ample line bundles on odd types. Furthermore, we show that the global Seshadri constants for certain ample line bundles on blow-up of hyperelliptic surfaces are rational.