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By:

Bhalchandra Chorghade

11 August 2025 at 7:24:18 pm

JNPA explores DFC link

Mumbai: The Dedicated Freight Corridor (DFC) is set to play a larger role in strengthening the movement of containers from Jawaharlal Nehru Port Authority (JNPA) to major consumption and distribution centres in the Mumbai Metropolitan Region, with the port authority exploring strategic rail nodes to improve connectivity with Bhiwandi’s rapidly expanding logistics and warehousing ecosystem. A stronger DFC-based freight network could significantly improve the speed and reliability of container...

JNPA explores DFC link

Mumbai: The Dedicated Freight Corridor (DFC) is set to play a larger role in strengthening the movement of containers from Jawaharlal Nehru Port Authority (JNPA) to major consumption and distribution centres in the Mumbai Metropolitan Region, with the port authority exploring strategic rail nodes to improve connectivity with Bhiwandi’s rapidly expanding logistics and warehousing ecosystem. A stronger DFC-based freight network could significantly improve the speed and reliability of container evacuation from JNPA while reducing the dependence on road transport. Faster rail movement would not only help cut transit times and logistics costs but also ease congestion on roads carrying large volumes of port-bound and port-originated cargo. The proposed integration of railway nodes along the DFC route with JNPA’s container evacuation network is particularly significant for Bhiwandi, which has emerged as one of the region’s key warehousing and distribution hubs. Direct and efficient rail connectivity could enable containers to move more seamlessly from the port to inland logistics centres, reducing the need for lengthy road journeys. Besides improving freight capacity, shifting a larger share of container traffic from road to rail can provide environmental benefits through lower fuel consumption and emissions. Rail freight also offers greater predictability for long-distance cargo movement and can help reduce pressure on existing road infrastructure. The initiative assumes importance as increasing cargo volumes and the expansion of warehousing and distribution activity in the Mumbai region put greater pressure on existing logistics networks. As part of the exercise, JNPA Chairman Gaurav Dayal and Deputy Chairman Ravish Singh along with senior port officials, inspected key railway infrastructure and logistics facilities along the DFC route. The delegation visited the newly developed Kharbhav Railway Station to assess its operational potential and examine how it could be integrated into the freight movement network. The station is being evaluated as a strategic rail node that could facilitate the movement of containerised cargo between JNPA and the Bhiwandi logistics cluster. The officials subsequently visited the Bhiwandi Warehousing Hub to assess its supply chain capacity, storage readiness and last-mile logistics efficiency. They also inspected the New Nilanje Railway Station to examine its potential as another freight node within the expanding rail-freight network. “By maximizing the potential of the Dedicated Freight Corridor through strategic rail nodes like Kharbhav and Nilanje, JNPA aims to offer seamless, faster, and environmentally sustainable container evacuation routes directly to key commercial clusters like Bhiwandi,” said Gaurav Dayal. Ravish Singh said, “Transitioning a higher share of container traffic from road to rail is crucial for reducing logistics costs and turnaround times. Our joint assessments today reinforce our commitment to building resilient hinterland connectivity that supports the growth of trade and industry.”

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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